Artificial intelligence (AI) Books

Book SynopsisThis seminal book injects the topic of superintelligence into the academic and popular mainstream. What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? In a tour de force of analytic thinking, Bostrom lays a foundation for understanding the future of humanity and intelligent life.Trade ReviewWorth reading. * Elon Musk, Founder of SpaceX and Tesla *I highly recommend this book * Bill Gates *very deep ... every paragraph has like six ideas embedded within it. * Nate Silver *Nick Bostrom makes a persuasive case that the future impact of AI is perhaps the most important issue the human race has ever faced. Instead of passively drifting, we need to steer a course. Superintelligence charts the submerged rocks of the future with unprecedented detail. It marks the beginning of a new era * Stuart Russell, Professor of Computer Science, University of California, Berkley *Those disposed to dismiss an 'AI takeover' as science fiction may think again after reading this original and well-argued book * Martin Rees, Past President, Royal Society *This superb analysis by one of the worlds clearest thinkers tackles one of humanitys greatest challenges: if future superhuman artificial intelligence becomes the biggest event in human history, then how can we ensure that it doesnt become the last? * Max Tegmark, Professor of Physics, MIT *Terribly important ... groundbreaking... extraordinary sagacity and clarity, enabling him to combine his wide-ranging knowledge over an impressively broad spectrum of disciplines - engineering, natural sciences, medicine, social sciences and philosophy - into a comprehensible whole... If this book gets the reception that it deserves, it may turn out the most important alarm bell since Rachel Carson's Silent Spring from 1962, or ever * Olle Haggstrom, Professor of Mathematical Statistics *Valuable. The implications of introducing a second intelligent species onto Earth are far-reaching enough to deserve hard thinking * The Economist *There is no doubting the force of [Bostroms] arguments the problem is a research challenge worthy of the next generations best mathematical talent. Human civilisation is at stake * Financial Times *His book Superintelligence: Paths, Dangers, Strategies became an improbable bestseller in 2014 * Alex Massie, Times (Scotland) *Ein Text so nüchtern und cool, so angstfrei und dadurch umso erregender, dass danach das, was bisher vor allem Filme durchgespielt haben, auf einmal höchst plausibel erscheint. A text so sober and cool, so fearless and thus all the more exciting that what has until now mostly been acted through in films, all of a sudden appears most plausible afterwards. (translated from German) * Georg Diez, DER SPIEGEL *Worth reading.... We need to be super careful with AI. Potentially more dangerous than nukes * Elon Musk, Founder of SpaceX and Tesla *A damn hard read * Sunday Telegraph *I recommend Superintelligence by Nick Bostrom as an excellent book on this topic * Jolyon Brown, Linux Format *Every intelligent person should read it. * Nils Nilsson, Artificial Intelligence Pioneer, Stanford University *An intriguing mix of analytic philosophy, computer science and cutting-edge science fiction, Nick Bostrom's Superintelligence is required reading for anyone seeking to make sense of the recent surge of interest in artificial intelligence (AI). * Colin Garvey, Icon *Table of ContentsPreface ; 1. Past Developments and Present Capabilities ; 2. Roads to Superintelligence ; 3. Forms of Superintelligence ; 4. Singularity Dynamics ; 5. Decisive Strategic Advantage ; 6. Intellectual Superpowers ; 7. The Superintelligent Will ; 8. Is the Default Outcome Doom? ; 9. The Control Problem ; 10. Oracles, Genies, Sovereigns, Tools ; 11. Multipolar Scenarios ; 12. Acquiring Values ; 13. Design Choices ; 14. The Strategic Picture ; 15. Nut-Cutting Time

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Book Synopsis'An invaluable companion for anyone who wants a deep understanding of what's under the hood of often inscrutable machines' Melanie Mitchell A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine-learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence discoveries in chemistry, biology and physics - the study of genomes, extra-solar planets, even the intricacies of quantum systems. We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. It took the development of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see all around us today. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules. As Ananthaswamy resonantly concludes, to make the most of our most wondrous technologies we need to understand their profound limitations - the clues lie in the maths that makes AI possible.

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Book SynopsisHito Steyerl is one of the most celebrated artists of our time. Her work, both as an artist and a writer, has consistently challenged the political boundaries between art and technol­ogy. In this new collection of groundbreaking essays, she explores how AI, the use of large language models and the algorithmic creation of imagery transform our understanding of the world. She argues that such practices cannot be divorced from the economic and political conditions of the times.Medium Hot is a collection of scintillating meditations on the limits of art and technol­ogy: the essential handbook for the present conjuncture. The pieces here probe the man­ufacture and distribution of images in the age of AI and climate change. She asks whether art can be made not only by machines but for machines. She argues against the production of images that heat up the planet, disfranchise workers and fuel the arms trade, and questions whether such creations can even be called art.In an era of such rapid change, Steyerl does vital work investigating whether machine learning will infiltrate every aspect of our lives and what that means for the future.

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Book Synopsis''Delightfully insightful and intensely readable [...] There is an energy and drama to Rory's writing which nonetheless leaves space for us, the reader, to make up our minds'' Stephen FryThe inside story of how tech became personal and pernicious, from the BBC''s technology correspondent.We live at a time when billions have access to unbelievably powerful technology. The most extraordinary tool that has been invented in the last century, the smartphone, is forcing radical changes in the way we live and work - and unlike previous technologies it is in the hands of just about everyone. Coupled with the rise of social media, this has ushered in a new era of deeply personal technology, where individuals now have the ability to work, create and communicate on their own terms, rather than wait for permission from giant corporations or governments. At least that is the optimistic view.This book takes readers on an entertaining ride through this turbulent era, asTrade ReviewA refreshingly skeptical outsider’s view of Silicon Valley and its titans. * Wall Street Journal *This delightfully insightful and intensely readable history combines the personal with the objective. From Jobs to Musk, from Facebook to fake news, from Snapchat to bitcoin by way of Raspberries, Blackberries and Apples there is an energy and drama to Rory’s writing which nonetheless leaves space for us, the reader, to make up our minds. -- Stephen FryCellan-Jones weaves together the broad story of the smartphone era with the personal element. By showing how technology has touched – and altered – him for good and bad he shows how it has affected us all. -- Jimmy Wales, founder of WikipediaWho better to tell us this story than the arch technology storyteller himself? From the first smartphone to test and trace, Rory has seen it all and interviewed everyone. Putting it all together makes for a fascinating and beautifully written story of our times -- Wendy Hall, Regius Professor of Computer Science, University of SouthamptonMr Cellan-Jones…takes a refreshingly sceptical outsider’s view of Silicon Valley and its titans…The book shines when Mr Cellan-Jones combines these journalistic war stories with personal reflections. * Wall Street Journal *Table of ContentsPrologue PART I: REVOLUTIONARY TIMES 1 'We're Going to Make Some History Here Today' 2 The Smartphone Revolution 3 Facepack: The Rise of Social Media 4 Raspberry Pi: Can Britain Build a Computer? 5 The End of the Human Race 6 Elon Musk and the Triumph of Tech PART II: THINGS FALL APART 7 The Woes of the Web 8 Always On 9 Spinners, Hacks and Hype 10 Crypto Craziness PART III: TECH IN A GLOBAL HEALTH CRISIS 11 The Pandemic Arrives 12 The App That Could Tame COVID 13 Fake News, 5G and the Virus Epilogue Acknowledgements Index

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Book SynopsisDark Pools is the pacy, revealing, and profoundly chilling tale of how global markets have been hijacked by trading robots – many so self-directed that humans can’t predict what they’ll do next.It’s the story of the blisteringly intelligent computer programmers behind the rise of these ‘bots’. And it’s a timely warning that as artificial intelligence gradually takes over, we could be on the verge of global meltdown.‘Scott Patterson has the ability to see things you and I don’t notice.’ Nassim Nicholas Taleb, New York Times bestselling author of Antifragile, Fooled by Randomness and The Black SwanTrade ReviewAn invaluable piece of timely journalism that should be read by regulators and anyone with a cent in the stock market. * Financial Times *[A] gripping, excellent expose * PQ Magazine *A great read … and raises an important question: could the trading machines destroy the capital markets? * Reuters UK *As an exposition of Wall Street nerdcraft, Dark Pools truly delivers ... Patterson's tales of ingenuity and cunning read like a spy novel * Sunday Business Post *Financial journalist Scott Patterson looks at the real world of AI trading machines and crafts a story equally as riveting * British Airways Life Magazine *

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Book SynopsisBuild end-to-end machine learning pipelines for trading systems. Apply unsupervised learning to detect anomalies and regime shifts. Extract alpha signals from financial text using modern NLP.

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Book Synopsis'an essential and fascinating manual for every woman who wants to understand equality within an ever-changing, modern world.' Scarlett Curtis[this book] taught me more than any book has ever taught me about AI.' Chris Evans, Virgin RadioHow To Talk To Robots, is your girls guide to Artificial Intelligence. Entrepreneur Tabitha Goldstaub welcomes you into the AI world with a warm embrace. She brilliantly breaks down the tech-bro barriers offering a straightforward introduction and makes clear the enormous benefits of understanding AI..If your social feed defines your spending habits or you've downloaded the latest filter to see what you'll look like when you are old or now connect with your doctor using an app, have applied for a job online or used your phone to arrive at work in record time, AI is playing a part in how you live, work and play. We live in an era where machines are taught to learn and act without human intervention and there are infinite possibilities to their applicatioTrade Review Praise for How To Talk To Robots: ‘Takes on the tech bros and provides a fun and accessible primer to artificial intelligence.’ The Financial Times ‘If you’re a woman who feels like the world of tech and AI is a boys club that you’ve been purposefully left out of, you might not be wrong! Artificial intelligence has the potential to hugely improve the lives of women or further propel us into a world even more dominated by the patriarchy. How to Talk to Robots is an essential and fascinating manual for every woman who wants to understand equality within an ever-changing, modern world. It is a VITAL text for every woman who wants answers to their questions – whether you know about tech or barely understand what AI means. READ THIS BOOK! It’s very important.’Scarlett Curtis, Sunday Times bestselling author of Feminists Don’t Wear Pink ‘…[this book] taught me more than any book has ever taught me about AI’Chris Evans, Virgin Radio ‘The must have equivalent of The Social Dilemma’Virgin Radio listener Praise for Tabitha Goldstaub:‘Fast becoming one of the best-connected women in the UK…. Goldstaub is one of a small yet influential number of women who are reshaping the world of tech and how it reads – and interacts with our minds and bodies.’ VOGUE ‘There's a revolution under way — and a woman called Tabitha Goldstaub is on a mission to make sure not only that London takes the lead but that women are given an equal role in it.’ EVENING STANDARD ‘Tabitha Goldstaub…is particularly alarmed by AI’s potential for gender bias and, in an effort to address this, is spearheading a campaign to get more women working in the field.’ THE GUARDIAN ‘Start training like a robot now, says CognitionX's Tabitha Goldstaub’ CAMPAIGN MAGAZINE ‘…she’s on a mission to make sure women are given an equal role in it [AI].’ GRAZIA

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Book SynopsisSHORTLISTED FOR THE FT & McKINSEY BUSINESS BOOK OF THE YEAR AWARDS 2020The Sunday Times Best Business Books of the Year 2020The Times of London Best Business Books of the Year 2020The Financial Times Best Books of the Year 2020Fortune Magazine Best Business Book of the Year 2020 FiveBooks.com Best Non-Fiction of 2020 Inc.com Best New Business Books of 2020''A path-breaking, thought-provoking and in-depth study of how new technology will transform the world of work'' Gordon Brown ''Compelling... Should be required reading for any presidential candidate'' New York TimesNew technologies have always provoked panic about workers being replaced by machines. In the past, such fears have been misplaced, and many economists maintain that they remain so today. Yet in A World Without Work, Daniel Susskind shows why this time really is different. Advances in artificial intelligence mTrade ReviewCompelling ... Thought-provoking ... Should be required reading for any presidential candidate thinking about the economy of the future. * New York Times *An excellent and timely piece of analysis ... Susskind combines a mastery of global research with insight into how government works. A book of immense importance that demands to be taken very seriously by No. 10, and by anyone who cares about the future of our country and world. * New Statesman *A pathbreaking, thought-provoking, and in-depth study of how new technology will transform the world of work. * The Right Honourable Gordon Brown *A fascinating book about a vitally important topic - and he writes with such elegance that you don't even notice how much you're learning. Elegant, original and compelling. -- Tim Harford, author of 'Fifty Things That Made The Modern Economy' and 'The Undercover Economist'A superb and sophisticated contribution to the debate over work in the age of artificial intelligence. Susskind approaches the debate with a great command of the evidence and with excellent judgment. He takes on all of the major debates: whether new jobs will replace those that disappear, how the income distribution will be affected, and how individuals are likely to allocate their time in the future between work, leisure, study, and other activities. Never glib, consistently wise and well-informed, this is the book to read to understand how digital technologies and artificial intelligence in particular are reshaping the economy and labor market, and how we will live alongside increasingly smart machines. -- Jeffrey D. Sachs, Professor of Economics at Columbia University, Director of the UN Sustainable Development Solutions NetworkDaniel Susskind has written an important book on an equally important topic: the future of work in an economy driven by the advances in artificial intelligence. His conclusion is that ultimately there will be less work, or at least less paid work. This will shake the foundations of our economy and our society. Our institutions will have to be transformed. It will be a daunting challenge. We have to start thinking hard about it now. -- Martin Wolf * Chief Economics Commentator, 'The Financial Times' *This is the book to read on the future of work in the age of artificial intelligence. It is thoughtful and state-of-the-art on the economics of the issue, but its real strength is the way it goes beyond just the economics. A truly important contribution that deserves widespread consideration. -- Lawrence Summers, former Chief Economist of the World Bank, Treasury Secretary for the Clinton Administration and Director of the National Economic Council for the Obama AdministrationEloquent and humane, A World Without Work moves the debate beyond the illusion that technology always creates more jobs than it destroys and provocatively explores the role of work in human life and what to do when that role evaporates. -- Stuart Russell, author of 'Human Compatible' and Professor of Computer Science at the University of California, BerkeleyFascinating and tightly argued * Sunday Telegraph *

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Book SynopsisSUNDAY TIMES BESTSELLERThe creator of the Gaia hypothesis and the greatest environmental thinker of our time has produced an astounding new theory about the future of life on Earth. James Lovelock argues that the anthropocene - the age in which humans acquired planetary-scale technologies - is, after three centuries, coming to an end. A new age - the novacene - has already begun.New beings will emerge from existing artificial intelligence systems. They will think 10,000 times faster than we do and will regard us as we now regard plants. The cruel, violent machine takeover imagined by sci-fi writers will not happen: these hyper-intelligent beings will be as dependent on the health of the planet as we are. They will need the planetary cooling system of Gaia to defend from the increasing heat of the sun. Gaia depends on organic life. We will be partners in this project. It is crucial, Lovelock argues, that the intelligence of Earth survives and prospers. We are at present the only beings capable of understanding the cosmos, but he speculates that the novacene could be the beginning of a process that will see intelligence suffusing the entire cosmos. At the age 100, Lovelock has produced the most compelling work of his life.Trade ReviewThe hard science is explained with beautiful clarity, and a characteristic mischievous wit ... It is a bracing corrective -- Steven Poole * Guardian *This restlessly thoughtful and forward-looking book ... is partly a defence of a lifetime's ideas, but mostly an argument about how AI is soon to overtake us - and what that means for our species -- James McConnachie * The Times *Leavened with wit and optimism ... Novacene is the collected wisdom of an elder of our tribe which more than repays the short time it takes to read. -- Stephen Cave * Financial Times *Novacene reads like undiluted Lovelock. From the start of his writing life - no matter how tortuous the narrative or complex the argument - Lovelock has written persuasively. ... if you want a sense of hyperintelligence in bipedal form, Novacene is a good place to start. -- Tim Radford * Nature *

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Book SynopsisThe Age of Intelligent Machines is upon us, and as we approach the end of human intellectual superiority, we as a species need to plan for a monumental shift. A Human Algorithm examines the immense impact intelligent technology will have on humanity. These machines, while challenging our personal beliefs and our socio-economic world order, also have the potential to transform our health and well-being, alleviate poverty and suffering, and reveal the mysteries of intelligence and consciousness. International human rights attorney Flynn Coleman deftly argues that it is critical we instill values, ethics, and morals into our robots, algorithms, and other forms of AI. Equally important, we need to develop and implement laws, policies, and oversight mechanisms to protect us from tech's insidious threats. Ultimately, A Human Algorithm is a clarion call for building a more humane future and moving conscientiously into a new frontier of our own design.Trade Review'What does artificial intelligence mean, where is it going, and how will it affect us? We’re currently on a very steep part of the technology curve, and Flynn Coleman is a wonderfully astute, perceptive, and reliable guide as we ascend into our future.' David Eagleman, author of The Brain: The Story of You

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Book SynopsisAn authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics. Up-to-date treatment of deep learning covers cutting-edge topics not found in existing texts, such as transformers and diffusion models Short, focused chapters progress in complexity, easing students into difficult concepts  Pragmatic approach straddling theory and practice gives readers the level of detail required to implement naive versions of models Streamlined presentation separates critical ideas from background context and extraneous detail Minimal mathematical prerequisites, extensive illustrations, and practice problems make challenging material widely accessible  Programming exercises offered in accompanying Python Notebooks 

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Book Synopsis'This colourful page-turner puts artificial intelligence into a human perspective . . . Metz explains this transformative technology and makes the quest thrilling.' Walter Isaacson, author of Steve Jobs____________________________________________________This is the inside story of a small group of mavericks, eccentrics and geniuses who turned Artificial Intelligence from a fringe enthusiasm into a transformative technology. It's the story of how that technology became big business, creating vast fortunes and sparking intense rivalries. And it's the story of breakneck advances that will shape our lives for many decades to come - both for good and for ill. ________________________________________________'One day soon, when computers are safely driving our roads and speaking to us in complete sentences, we'll look back at Cade Metz's elegant, sweeping Genius Makers as their birth story - the Genesis for an age of sentient machines.' Brad Stone, author of The Everything Store and The Upstarts'A ringside seat at what may turn out to be the pivotal episode in human history . . . easy and fun to read . . . undeniably charming.' ForbesTrade ReviewIn Genius Makers, Cade Metz delivers the definitive take on how AI technology came to be and what its arrival will mean for us humans. The book relies on tireless reporting and delightful writing to bring to life one of the most surprising and important stories of our time. If you want to read one book to understand AI, this is the one. -- Ashlee Vance, New York Times bestselling author of ELON MUSKThis colourful page-turner puts artificial intelligence into a human perspective. Through the lives of Geoff Hinton and other major players, Metz explains this transformative technology and makes the quest thrilling. -- Walter Isaacson, #1 New York Times bestselling author of LEONARDO DA VINCI, STEVE JOBS and THE INNOVATORSCade Metz has produced an enthralling narrative of the advance of artificial intelligence. He describes the key personalities, the seminal meetings and the crucial breakthroughs with his customary eye for detail, building them into a dramatic history of this era-defining technology. -- Kai-Fu Lee, author of AI SUPERPOWERSThis is the inside story of how AI entered Google, Facebook, and the rest of high tech. It is also the story of how Silicon Valley and its mega-bucks infiltrated AI and changed its course. Chock full of behind-the-scenes anecdotes and wry humour - we learn the true tale of the technology that is transforming humanity. -- Oren Etzioni, chief executive, Allen Institute for Artificial IntelligenceOne day soon, when computers are safely driving our roads and speaking to us in complete sentences, we'll look back at Cade Metz's elegant, sweeping Genius Makers as their birth story - the Genesis for an age of sentient machines. -- Brad Stone, author of THE EVERYTHING STORE and THE UPSTARTS

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Book SynopsisNicole Alexander is a marketing leader and educator with over 25 years of experience driving growth, innovation and transformation. She is an Adjunct Professor at NYU, a Lecturer at Section School and a Board Member at Per Scholas. She has held prominent leadership roles, including Global Head of Marketing at Meta, SVP of Innovation at Ipsos and VP of Innovation for Greater China at Nielsen. She lives in New York, NY.

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Book SynopsisDrones are transforming warfare through the use of artificial intelligence, drone swarms, and surveillance—leading to competition between the US, China, Israel, and Iran. Who will be the next drone superpower?In the battle for the streets of Mosul in Iraq, drones in the hands of ISIS terrorists made life hell for the Iraq army and civilians. Today, defense companies are racing to develop the lasers, microwave weapons, and technology necessary for confronting the next drone threat. Seth J. Frantzman takes the reader from the midnight exercises with Israel’s elite drone warriors, to the CIA headquarters where new drone technology was once adopted in the 1990s to hunt Osama bin Laden. This rapidly expanding technology could be used to target nuclear power plants and pose a threat to civilian airports. In the Middle East, the US used a drone to kill Iranian arch-terrorist Qasem Soleimani, a key Iranian commander. Drones are transforming the battlefield from Syria to Libya and Yemen. For militaries and security agencies—the main users of expensive drones—the UAV market is expanding as well; there were more than 20,000 military drones in use by 2020. Once the province of only a few militaries, drones now being built in Turkey, China, Russia, and smaller countries like Taiwan may be joining the military drone market. It’s big business, too—$100 billion will be spent over the next decade on drones. Militaries may soon be spending more on drones than tanks, much as navies transitioned away from giant vulnerable battleships to more agile ships. The future wars will be fought with drones and won by whoever has the most sophisticated technology.Trade Review"A riveting account of one of the most significant developments in contemporary warfare—the evolution and proliferation of drones. Seth Frantzman provides a compelling description of this development and of the challenges facing the US and other countries as they grapple with the rapidly emerging threats posed by the new technology. He also conveys a sobering analysis about how this technology is transforming warfare and a convincing case for better defenses against drones in the hands of terrorists, non-state actors, and near-peer adversaries. This is a very important book." -- General David Petraeus, US Army (Ret.), former Commander of the Surge in Iraq, US Central Command, and Coalition and US Forces in Afghanistan, and former Director of the CIA"A fast-paced account of the pioneers behind today's military drones, in Drone Wars, author Seth J. Frantzman sheds a light on the shadowy world of military drones and how these new technologies are changing the modern battlefield. The global proliferation of drones and their incorporation by militaries and terror groups creates an urgency for developing and fielding defenses against drones and keeping up with countries and groups that may pose an increasing threat." -- Richard Kemp, former Commander of British forces in Afghanistan and led the international terrorism team at Britain's Joint Intelligence Committee

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Book SynopsisLearn how to use and leverage AI as a writer, editor, literary agent, or publisher. AI Ink: Writing, Publishing, and Misinformation at the Dawn of the AI Ageis a groundbreaking exploration of the profound impact of artificial intelligence on the creative industries. Jason Van Tatenhove, a journalist and expert on political extremism, takes readers on a journey through the rapidly evolving landscape where AI tools are reshaping writing and publishing. From AI-generated content to the ethical dilemmas of misinformation, this book addresses the opportunities and challenges that come with the integration of AI into creative processes. Van Tatenhove draws on his extensive experience and interviews with leading experts to provide a comprehensive guide that is essential for writers, publishers, and anyone interested in the future of creativity.AI Inknot only explores the current state of AI but also offers thoughtful predictions and practical advice for navigating the complexities of this new technological era.

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Book Synopsis''A terrific book - essential reading for everyone seeking to make sense of Artificial Intelligence'' Professor Sir Adrian Smith, Director and Chief Executive of the Alan Turing InstituteIn this myth-busting guide to AI past and present, one of the world''s leading researchers shows why our fears for the future are misplaced.The ultimate dream of AI is to build machines that are like us: conscious and self-aware. While this remains a remote possibility, rapid progress in AI is already transforming our world. Yet the public debate is still largely centred on unlikely prospects, from sentient machines to dystopian robot takeovers.In this lively and clear-headed guide, Michael Wooldridge challenges the prevailing narrative, revealing how the hype distracts us from both the more immediate risks that this technology poses - from algorithmic bias to fake news - and the true life-changing potential of the field. The Road to Conscious Machines elucidates the discoveries of AI''s greatest pioneers from Alan Turing to Demis Hassabis, and what today''s researchers actually think and do.''Nobody understands the past, the present, the promise and the peril of this new technology better than Michael Wooldridge. The definitive account'' Matt Ridley, author of The Rational Optimist''Effortlessly readable. The perfect guide to the history and future of AI'' Tom Chivers, author of The AI Does Not Hate YouTrade ReviewA terrific book - essential reading for everyone seeking to make sense of Artificial Intelligence. Wooldridge provides a clear-sighted and entertaining account of both the technical development of AI and the social and ethical issues arising from its increasing deployment. -- Professor Sir Adrian Smith, Director and Chief Executive of The Alan Turing InstituteTakes us expertly by the hand through the labyrinth of Artificial Intelligence. A penetrating and lucid contribution to our digital understanding, which dispels many of the myths surrounding AI. Authoritative but accessible and highly readable. * Lord Clement-Jones CBE, Chair of the House of Lords Select Committee on Artificial Intelligence 2017–2018 *Calm, informative and refreshingly free of hype, Wooldridge's effortlessly readable book is the perfect guide to the history and future of AI. -- Tom Chivers, science writer and author of 'The AI Does Not Hate You'In the long and often frustrating quest for artificial intelligence, something spectacular has happened in the past decade. Nobody understands the past, the present, the promise and the peril of this new technology better than Michael Wooldridge. He has written the definitive account of the new AI. -- Lord Matt Ridley, author of 'The Rational Optimist' and 'The Evolution of Everything'The buzz around AI has unearthed many questions and in The Road to Conscious Machines you get answers. -- Tabitha Goldstaub, co-founder of CognitionX and Chair of the UK Government's AI CouncilIn an age when AI is promoted as either the greatest threat or best hope for humanity, Wooldridge gives us a text that is accessible and authoritative. A balanced and informed view of the decades-long history of AI, its methods and techniques, achievements and shortfalls. -- Professor Sir Nigel Shadbolt, Professorial Research Fellow in Computer Science and Principal of Jesus College, OxfordIn this diligent and reassuring explanation of the immense difficulty of recreating intelligence in a machine, Michael Wooldridge succeeds not only in writing an engaging history of AI, but in telling us about the fabulously complicated structures on which our own consciousness rests -- Will Dunn * New Statesman *

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Book SynopsisA New York Times bestselling author and tech columnist's counter-intuitive guide to staying relevant - and employable - in the machine age by becoming irreplaceably human.It's not a future scenario any more. We've been taught that to compete with automation and AI, we'll have to become more like the machines themselves, building up technical skills like coding. But, there's simply no way to keep up. What if all the advice is wrong? And what do we need to do instead to become futureproof?We tend to think of automation as a blue-collar phenomenon that will affect truck drivers, factory workers, and other people with repetitive manual jobs. But it's much, much broader than that. Lawyers are being automated out of existence. Last year, JPMorgan Chase built a piece of software called COIN, which uses machine learning to review complicated contracts and documents. It used to take the firm's lawyers more than 300,000 hours every year to review all of those documents. Now, it takes a few seconds, and requires just one human to run the program. Doctors are being automated out of existence, too. Last summer, a Chinese tech company built a deep learning algorithm that diagnosed brain cancer and other diseases faster and more accurately than a team of 15 top Chinese doctors.Kevin Roose has spent the past few years studying the question of how people, communities, and organisations adapt to periods of change, from the Industrial Revolution to the present. And the insight that is sweeping through Silicon Valley as we speak -- that in an age dominated by machines, it's human skills that really matter - is one of the more profound and counter-intuitive ideas he's discovered. It's the antidote to the doom-and-gloom worries many people feel when they think about AI and automation. And it's something everyone needs to hear.In nine accessible, prescriptive chapters, Roose distills what he has learned about how we will survive the future, that the way to become futureproof is to become incredibly, irreplaceably human.Trade ReviewA concise, insightful and sophisticated guide to maintaining humane values in an age of new machines -- The New York Times Book ReviewWhile we need to rewrite the rules of the twenty-first-century economy, Kevin's book is a great look at how people can do this on a personal level to always put humanity first -- Andrew YangLightly written and engaging * The Times *Kevin Roose provides a clear, compelling strategy for surviving the next wave of technology with our jobs - and souls - intact... Futureproof is the survival guide you need. * Charles Duhigg, The Power of Habit *AI will be a far bigger game changer for the world than COVID-19. And unless we start thinking and planning for it far more seriously now, we will be in even greater peril. Futureproof is a brilliant book that explains what we need to do, all of us, right now * Anthony Seldon *Roose offers an upbeat, practical guide for dealing with "a world that is increasingly arranged by and for machines" . . . Helpful advice to quell workers' anxiety * Kirkus Reviews *PRAISE FOR YOUNG MONEY - If Kevin Roose's finely crafted Young Money does not scare you straight about the life of a young financial analyst on Wall Street, it can't be done. Roose's frolic through Wall Street's playpen is a must-read. * House of Cards; Money and Power *Despite all the press about Wall Street, the stories that don't usually get told are those of the recent college graduates who clamour for the chance to work 100 hour plus weeks at the big banks. Kevin Roose's new book, which follows a handful of analysts through the trials and tribulations of their early years on the Street, is a thoughtful exploration of their motivations and their experiences - and it's a great read. * The Smartest Guys in the Room and All the Devils are Here *A cautionary true-life tale, Young Money should be required reading for every college student who is contemplating a job on Wall Street. As for the rest of us, who remember Wall Street before 2008, Kevin Roose has provided a great window into how that world has changed-and how it hasn't. * The Predator's Ball *Highly entertaining and impressive ...Roose's captivating read is sure to appeal to readers young and old who are interested in the zeitgeist of Wall Street since the crash * Publisher's Weekly *[Young Money] offers a compelling glimpse of Wall Street in the post-2008 recession era...thought provoking, excellent book * Booklist *The young people who have flocked to Wall Street are often badly used, caught up in power struggles among middle management and little appreciated ... [Young Money] captures the daily indignities to which the junior capitalists are subjected * Kirkus Reviews *

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Book SynopsisAI has the potential to help us create a more peaceful, just, sustainable, healthy and joyful world. Digital Dharma shows you a path.' Sam Altman, CEO of OpenAIIn a world captivated yet bewildered by artificial intelligence, spiritual icon Deepak Chopra explores AI''s untapped potential to unlock the mystery of consciousness, positioning AI not as a threat, but as a powerful catalyst for personal and spiritual growth.Digital Dharma shows how the most popular, freely available chatbots can serve as guides through every level of human potential survival and safety, emotional connection, self-worth, abundance, creativity, wisdom and the infinite possibilities of cosmic consciousness.Featuring personal assessments and practical exercises, Deepak Chopra invites you to explore a relationship with AI not merely as a technological tool, but as a partner in shaping a future where human potential solves pressing global issues and empowers

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Book SynopsisOmar Santos, a cybersecurity leader and Distinguished Engineer at Cisco, is renowned for his expertise in ethical hacking, vulnerability research, AI security, and incident response. He has led the DEF CON's Red Team Village, co-chaired the Coalition of Secure AI (CoSAI), and is a prolific author. Omar's contributions have significantly advanced technology and global security standards. Petar Radanliev obtained his PhD at the University of Wales in 2014 before becoming a Post-Doctoral Research Associate at the Department of Computer Science at the University of Oxford. His current research focuses on artificial intelligence, cybersecurity, quantum computing, and blockchain technology. Before joining academia, Dr. Petar Radanliev spent ten years as a Cybersecurity Manager for RBS--the largest bank in the world at the time--and five years as a Lead Penetration Tester for the Ministry for Defence.

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Book SynopsisPython Workout presents 50 exercises designed to deepen the reader’s skill with Python. Readers will not only tackle exercises using built-in data structures, but also more advanced techniques, such as functional programming, object-oriented programming, iterators, and generators. With each engaging challenge, readers will practice a new skill and learn how to apply it to everyday coding tasks. Key Features 50 hands-on exercises and solutions Basic Python sequence types Python dictionaries and sets Functional programming in Python Creating your own classes Working with Python objects Generator functions Intended for readers with basic Python skills. About the technology Python is a versatile, elegant, general purpose programming language. Essential for data analysis, web development, artificial intelligence, games, desktop apps, and more, Python skills are a hot commodity. Reuven M. Lerner, an independent consultant for more than two decades, teaches Python, data science, and Git to companies around the world. His Better developers newsletter and blog are read by thousands of Python developers each week. Reuven has written a monthly column, “At the Forge,” for Linux Journal since 1996 and is a panellist on the weekly Freelancers Show podcast. Reuven lives with his wife and three children in Modi’in, Israel, and can be reached at https://lerner.co.il/ or on Twitter at @reuvenmlerner.

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Book Synopsis

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Book Synopsis

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Book SynopsisBernard Marr is one of the world's leading voices in business and technology. A futurist and strategic performance consultant, he has worked with many of the world's best-known organizations and writes a regular column for Forbes. Marr is also a major influencer with a combined following of 4 million people across his social media channels and was ranked by LinkedIn as one of the top 5 business influencers in the world. He is the author of AI Strategy, The Intelligence Revolution, Data Strategy and Data-Driven HR, all published by Kogan Page. He is based in Milton Keynes, UK.

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Book SynopsisNell Watson is a researcher and applied tech ethicist. She advises organizations on their machine learning strategies, specializing in AI research and ethical advocacy. She is President of the European Responsible AI Office and the author of Taming the Machine published by Kogan Page. She lives in Belfast, UK.Ali Hessami is a systems engineer specializing in risk analysis, assessment and safety. He is a leading figure in AI ethics standardization efforts as Vice Chair of the IEEE AI Ethics Certification Programme and Chair of the IEEE 7000 AI Ethics Standard. He lives in London, UK.

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Book Synopsis Paul Deitel, CEO and Chief Technical Officer of Deitel & Associates, Inc., is a graduate of MIT, where he studied Information Technology. Through Deitel & Associates, Inc., he has delivered hundreds of programming courses worldwide to clients, including Cisco, IBM, Siemens, Sun Microsystems, Dell, Fidelity, NASA at the Kennedy Space Center, the National Severe Storm Laboratory, White Sands Missile Range, Rogue Wave Software, Boeing, SunGard Higher Education, Nortel Networks, Puma, iRobot, Invensys and many more. He and his co-author, Dr. Harvey M. Deitel, are the world's best-selling programming-language textbook/professional book/video authors. Dr. Harvey Deitel, Chairman and Chief Strategy Officer of Deitel & Associates, Inc., has over 50 years of experience in the computer field. Dr. Deitel earned B.S. and M.S. degrees in Electrical Engineering from MIT and a Ph.D. in Mathematics from Boston University. He has extensive college teaching experienTrade Review“The chapters are clearly written with detailed explanations of the example code. The modular structure, wide range of contemporary data science topics, and code in companion Jupyter notebooks make this a fantastic resource for readers of a variety of backgrounds. Fabulous Big Data chapter—it covers all of the relevant programs and platforms. Great Watson chapter! The chapter provides a great overview of the Watson applications. Also, your translation examples are great because they provide an ‘instant reward’—it’s very satisfying to implement a task and receive results so quickly. Machine Learning is a huge topic, and the chapter serves as a great introduction. I loved the California housing data example—very relevant for business analytics. The chapter was visually stunning.” —Alison Sanchez, Assistant Professor in Economics, University of San Diego “A great introduction to Big Data concepts, notably Hadoop, Spark, and IoT. The examples are extremely realistic and practical. The authors do an excellent job of combining programming and data science topics. The material is presented in digestible sections accompanied by engaging interactive examples. Nearly all concepts are accompanied by a worked-out example. A comprehensive overview of object-oriented programming in Python—the use of card image graphics is sure to engage the reader.” —Garrett Dancik, Eastern Connecticut State University “Covers some of the most modern Python syntax approaches and introduces community standards for style and documentation. The machine learning chapter does a great job of walking people through the boilerplate code needed for ML in Python. The case studies accomplish this really well. The later examples are so visual. Many of the model evaluation tasks make for really good programming practice. I can see readers feeling really excited about playing with the animations.” —Elizabeth Wickes, Lecturer, School of Information Sciences, University of Illinois at Urbana-Champaign “An engaging, highly accessible book that will foster curiosity and motivate beginning data scientists to develop essential foundations in Python programming, statistics, data manipulation, working with APIs, data visualization, machine learning, cloud computing, and more. Great walkthrough of the Twitter APIs—sentiment analysis piece is very useful. I’ve taken several classes that cover natural language processing and this is the first time the tools and concepts have been explained so clearly. I appreciate the discussion of serialization with JSON and pickling and when to use one or the other—with an emphasis on using JSON over pickle—good to know there’s a better, safer way!” —Jamie Whitacre, Data Science Consultant “For a while, I have been looking for a book in Data Science using Python that would cover the most relevant technologies. Well, my search is over. A must-have book for any practitioner of this field. The machine learning chapter is a real winner!! The dynamic visualization is fantastic.” —Ramon Mata-Toledo, Professor, James Madison University “I like the new combination of topics from computer science, data science, and stats. This is important for building data science programs that are more than just cobbling together math and computer science courses. A book like this may help facilitate expanding our offerings and using Python as a bridge for computer and data science topics. For a data science program that focuses on a single language (mostly), I think Python is probably the way to go.” —Lance Bryant, Shippensburg University “You’ll develop applications using industry standard libraries and cloud computing services.” —Daniel Chen, Data Scientist, Lander Analytics “Great introduction to Python! This book has my strongest recommendation both as an introduction to Python as well as Data Science.” —Shyamal Mitra, Senior Lecturer, University of Texas “IBM Watson is an exciting chapter. The code examples put together a lot of Watson services in a really nifty example.” —Daniel Chen, Data Scientist, Lander Analytics “Fun, engaging real-world examples will encourage readers to conduct meaningful data analyses. Provides many of the best explanations of data science concepts I’ve encountered. Introduces the most useful starter machine learning models—does a good job explaining how to choose the best model and what ‘the best’ means. Great overview of all the big data technologies with relevant examples.” —Jamie Whitacre, Data Science Consultant “A great introduction to deep learning.” —Alison Sanchez, University of San Diego “The best designed Intro to Data Science/Python book I have seen.” —Roland DePratti, Central Connecticut State University “I like the new combination of topics from computer science, data science, and stats.” —Lance Bryant, Shippensburg University “The book’s applied approach should engage readers. A fantastic job providing background on various machine learning concepts without burdening the users with too many mathematical details.” —Garrett Dancik, Assoc. Prof. of Computer Science/Bioinformatics, Eastern Connecticut State University “Helps readers leverage the large number of existing libraries to accomplish tasks with minimal code. Concepts are accompanied by rich Python examples that readers can adapt to implement their own solutions to data science problems. I like that cloud services are used.” —David Koop, Assistant Professor, U-Mass Dartmouth “I enjoyed the OOP chapter—doctest unit testing is nice because you can have the test in the actual docstring so things are traveling together. The line-by-line explanations of the static and dynamic visualizations of the die rolling example are just great.” —Daniel Chen, Data Scientist, Lander Analytics “A lucid exposition of the fundamentals of Python and Data Science. Thanks for pointing out seeding the random number generator for reproducibility. I like the use of dictionary and set comprehensions for succinct programming. ‘List vs. Array Performance: Introducing %timeit’ is convincing on why one should use ndarrays. Good defensive programming. Great section on Pandas Series and DataFrames—one of the clearest expositions that I have seen. The section on data wrangling is excellent. Natural Language Processing is an excellent chapter! I learned a tremendous amount going through it.” —Shyamal Mitra, Senior Lecturer, University of Texas “I like the discussion of exceptions and tracebacks. I really liked the Data Mining Twitter chapter; it focused on a real data source and brought in a lot of techniques for analysis (e.g., visualization, NLP). I like that the Python modules helped hide some of the complexity. Word clouds look cool.” —David Koop, Assistant Professor, U-Mass Dartmouth “I love the book! The examples are definitely a high point.” —Dr. Irene Bruno, George Mason University “I was very excited to see this book. I like its focus on data science and a general purpose language for writing useful data science programs. The data science portion distinguishes this book from most other introductory Python books.” —Dr. Harvey Siy, University of Nebraska at Omaha “I’ve learned a lot in this review process, discovering the exciting field of AI. I’ve liked the Deep Learning chapter, which has left me amazed with the things that have already been achieved in this field.” —José Antonio González Seco, Consultant “An impressive hands-on approach to programming meant for exploration and experimentation.” —Elizabeth Wickes, Lecturer, School of Information Sciences, University of Illinois at Urbana-Champaign “I was impressed at how easy it was to get started with NLP using Python. A meaningful overview of deep learning concepts, using Keras. I like the streaming example.” —David Koop, Assistant Professor, U-Mass Dartmouth “Really like the use of f-strings, instead of the older string-formatting methods. Seeing how easy TextBlob is compared to base NLTK was great. I never made word clouds with shapes before, but I can see this being a motivating example for people getting started with NLP. I’m enjoying the case-study chapters in the latter parts of the book. They are really practical. I really enjoyed working through all the Big Data examples, especially the IoT ones.” —Daniel Chen, Data Scientist, Lander Analytics “I really liked the live IPython input-output. The thing that I like most about this product is that it is a Deitel & Deitel book (I’m a big fan) that covers Python.” —Dr. Mark Pauley, University of Nebraska at Omaha Table of ContentsPreface xviiBefore You Begin xxxiiiChapter 1: Introduction to Computers and Python 11.1 Introduction 21.2 A Quick Review of Object Technology Basics 31.3 Python 51.4 It’s the Libraries! 71.5 Test-Drives: Using IPython and Jupyter Notebooks 91.6 The Cloud and the Internet of Things 161.7 How Big Is Big Data? 171.8 Case Study—A Big-Data Mobile Application 241.9 Intro to Data Science: Artificial Intelligence—at the Intersection of CS and Data Science 261.10 Wrap-Up 29Chapter 2: Introduction to Python Programming 312.1 Introduction 322.2 Variables and Assignment Statements 322.3 Arithmetic 332.4 Function print and an Intro to Single- and Double-Quoted Strings 362.5 Triple-Quoted Strings 382.6 Getting Input from the User 392.7 Decision Making: The if Statement and Comparison Operators 412.8 Objects and Dynamic Typing 452.9 Intro to Data Science: Basic Descriptive Statistics 462.10 Wrap-Up 48Chapter 3: Control Statements 493.1 Introduction 503.2 Control Statements 503.3 if Statement 513.4 if...else and if...elif...else Statements 523.5 while Statement 553.6 for Statement 553.7 Augmented Assignments 573.8 Sequence-Controlled Iteration; Formatted Strings 583.9 Sentinel-Controlled Iteration 593.10 Built-In Function range: A Deeper Look 603.11 Using Type Decimal for Monetary Amounts 613.12 break and continue Statements 643.13 Boolean Operators and, or and not 653.14 Intro to Data Science: Measures of Central Tendency—Mean, Median and Mode 673.15 Wrap-Up 69Chapter 4: Functions 714.1 Introduction 724.2 Defining Functions 724.3 Functions with Multiple Parameters 754.4 Random-Number Generation 764.5 Case Study: A Game of Chance 784.6 Python Standard Library 814.7 math Module Functions 824.8 Using IPython Tab Completion for Discovery 834.9 Default Parameter Values 854.10 Keyword Arguments 854.11 Arbitrary Argument Lists 864.12 Methods: Functions That Belong to Objects 874.13 Scope Rules 874.14 import: A Deeper Look 894.15 Passing Arguments to Functions: A Deeper Look 904.16 Recursion 934.17 Functional-Style Programming 954.18 Intro to Data Science: Measures of Dispersion 974.19 Wrap-Up 98Chapter 5: Sequences: Lists and Tuples 1015.1 Introduction 1025.2 Lists 1025.3 Tuples 1065.4 Unpacking Sequences 1085.5 Sequence Slicing 1105.6 del Statement 1125.7 Passing Lists to Functions 1135.8 Sorting Lists 1155.9 Searching Sequences 1165.10 Other List Methods 1175.11 Simulating Stacks with Lists 1195.12 List Comprehensions 1205.13 Generator Expressions 1215.14 Filter, Map and Reduce 1225.15 Other Sequence Processing Functions 1245.16 Two-Dimensional Lists 1265.17 Intro to Data Science: Simulation and Static Visualizations 1285.18 Wrap-Up 135Chapter 6: Dictionaries and Sets 1376.1 Introduction 1386.2 Dictionaries 1386.3 Sets 1476.4 Intro to Data Science: Dynamic Visualizations 1526.5 Wrap-Up 158Chapter 7: Array-Oriented Programming with NumPy 1597.1 Introduction 1607.2 Creating arrays from Existing Data 1607.3 array Attributes 1617.4 Filling arrays with Specific Values 1637.5 Creating arrays from Ranges 1647.6 List vs. array Performance: Introducing %timeit 1657.7 array Operators 1677.8 NumPy Calculation Methods 1697.9 Universal Functions 1707.10 Indexing and Slicing 1717.11 Views: Shallow Copies 1737.12 Deep Copies 1747.13 Reshaping and Transposing 1757.14 Intro to Data Science: pandas Series and DataFrames 1777.15 Wrap-Up 189Chapter 8: Strings: A Deeper Look 1918.1 Introduction 1928.2 Formatting Strings 1938.3 Concatenating and Repeating Strings 1968.4 Stripping Whitespace from Strings 1978.5 Changing Character Case 1978.6 Comparison Operators for Strings 1988.7 Searching for Substrings 1988.8 Replacing Substrings 1998.9 Splitting and Joining Strings 2008.10 Characters and Character-Testing Methods 2028.11 Raw Strings 2038.12 Introduction to Regular Expressions 2038.13 Intro to Data Science: Pandas, Regular Expressions and Data Munging 2108.14 Wrap-Up 214Chapter 9: Files and Exceptions 2179.1 Introduction 2189.2 Files 2199.3 Text-File Processing 2199.4 Updating Text Files 2229.5 Serialization with JSON 2239.6 Focus on Security: pickle Serialization and Deserialization 2269.7 Additional Notes Regarding Files 2269.8 Handling Exceptions 2279.9 finally Clause 2319.10 Explicitly Raising an Exception 2339.11 (Optional) Stack Unwinding and Tracebacks 2339.12 Intro to Data Science: Working with CSV Files 2359.13 Wrap-Up 241Chapter 10: Object-Oriented Programming 24310.1 Introduction 24410.2 Custom Class Account 24610.3 Controlling Access to Attributes 24910.4 Properties for Data Access 25010.5 Simulating “Private” Attributes 25610.6 Case Study: Card Shuffling and Dealing Simulation 25810.7 Inheritance: Base Classes and Subclasses 26610.8 Building an Inheritance Hierarchy; Introducing Polymorphism 26710.9 Duck Typing and Polymorphism 27510.10 Operator Overloading 27610.11 Exception Class Hierarchy and Custom Exceptions 27910.12 Named Tuples 28010.13 A Brief Intro to Python 3.7’s New Data Classes 28110.14 Unit Testing with Docstrings and doctest 28710.15 Namespaces and Scopes 29010.16 Intro to Data Science: Time Series and Simple Linear Regression 29310.17 Wrap-Up 301Chapter 11: Natural Language Processing (NLP) 30311.1 Introduction 30411.2 TextBlob 30511.3 Visualizing Word Frequencies with Bar Charts and Word Clouds 31911.4 Readability Assessment with Textatistic 32411.5 Named Entity Recognition with spaCy 32611.6 Similarity Detection with spaCy 32711.7 Other NLP Libraries and Tools 32811.8 Machine Learning and Deep Learning Natural Language Applications 32811.9 Natural Language Datasets 32911.10 Wrap-Up 330Chapter 12: Data Mining Twitter 33112.1 Introduction 33212.2 Overview of the Twitter APIs 33412.3 Creating a Twitter Account 33512.4 Getting Twitter Credentials—Creating an App 33512.5 What’s in a Tweet? 33712.6 Tweepy 34012.7 Authenticating with Twitter Via Tweepy 34112.8 Getting Information About a Twitter Account 34212.9 Introduction to Tweepy Cursors: Getting an Account’s Followers and Friends 34412.10 Searching Recent Tweets 34712.11 Spotting Trends: Twitter Trends API 34912.12 Cleaning/Preprocessing Tweets for Analysis 35312.13 Twitter Streaming API 35412.14 Tweet Sentiment Analysis 35912.15 Geocoding and Mapping 36212.16 Ways to Store Tweets 37012.17 Twitter and Time Series 37012.18 Wrap-Up 371Chapter 13: IBM Watson and Cognitive Computing 37313.1 Introduction: IBM Watson and Cognitive Computing 37413.2 IBM Cloud Account and Cloud Console 37513.3 Watson Services 37613.4 Additional Services and Tools 37913.5 Watson Developer Cloud Python SDK 38113.6 Case Study: Traveler’s Companion Translation App 38113.7 Watson Resources 39413.8 Wrap-Up 395Chapter 14: Machine Learning: Classification, Regression and Clustering 39714.1 Introduction to Machine Learning 39814.2 Case Study: Classification with k-Nearest Neighbors and the Digits Dataset, Part 1 40314.3 Case Study: Classification with k-Nearest Neighbors and the Digits Dataset, Part 2 41314.4 Case Study: Time Series and Simple Linear Regression 42014.5 Case Study: Multiple Linear Regression with the California Housing Dataset 42514.6 Case Study: Unsupervised Machine Learning, Part 1—Dimensionality Reduction 43814.7 Case Study: Unsupervised Machine Learning, Part 2—k-Means Clustering 44214.8 Wrap-Up 455Chapter 15: Deep Learning 45715.1 Introduction 45815.2 Keras Built-In Datasets 46115.3 Custom Anaconda Environments 46215.4 Neural Networks 46315.5 Tensors 46515.6 Convolutional Neural Networks for Vision; Multi-Classification with the MNIST Dataset 46715.7 Visualizing Neural Network Training with TensorBoard 48615.8 ConvnetJS: Browser-Based Deep-Learning Training and Visualization 48915.9 Recurrent Neural Networks for Sequences; Sentiment Analysis with the IMDb Dataset 48915.10 Tuning Deep Learning Models 49715.11 Convnet Models Pretrained on ImageNet 49815.12 Wrap-Up 499Chapter 16: Big Data: Hadoop, Spark, NoSQL and IoT 50116.1 Introduction 50216.2 Relational Databases and Structured Query Language (SQL) 50616.3 NoSQL and NewSQL Big-Data Databases: A Brief Tour 51716.4 Case Study: A MongoDB JSON Document Database 52016.5 Hadoop 53016.6 Spark 54116.7 Spark Streaming: Counting Twitter Hashtags Using the pyspark-notebook Docker Stack 55116.8 Internet of Things and Dashboards 56016.9 Wrap-Up 571Index 573

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Book SynopsisThis book explores whether the Metaverse - understood here as a persistent, immersive, and widely utilized, virtual world - will be the next chapter in the evolution of cyberspace, and what that means for people, business, and society.The Metaverse. Depending on your perspective, it''s the future of the Internet, the next generation of video games, or a deeply uncomfortable, worse version of Zoom. In many ways, the confusion, overpromising, and hype are reminiscent of how the Internet itself was envisioned in earlier epochs.A diverse range of firms are investing in Metaverse tech, causing a digital gold rush. There is plausibly a substantial first-mover advantage to be won, which Forbes has estimated to be north of a $1 trillion revenue opportunity. But there have also been questions raised about the utility of the Metaverse, with many firms, including Disney and Meta itself, pivoting to AI even as others like Apple release new products doubling down on spatial computing. In the trademark question-and-answer style of the What Everyone Needs to Know series, this book provides an understanding of what the Metaverse is, how it is different from virtual and augmented reality, and the emerging Metaverse economy. It looks at media, politics, speech, crime and security, and identity and privacy in the Metaverse. It explores how governance and law operate or may operate in the Metaverse, the rights of bots, and our Meta future.The stakes are high, and confusion abounds, particularly in the public, making The Metaverse a perfect addition to the What Everyone Needs to Know series.

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Book SynopsisCovers encoding and binary digits, entropy, language and meaning, efficient encoding and the noisy channel, and explores ways in which information theory relates to physics, cybernetics, psychology, and art. 1980 edition.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisFrom the critically acclaimed author of Jennifer Government and Lexicon comes mind-bending speculative psychological suspense about a serial killer pursuing his victim across time and space, and the woman who is determined to stop him, even if it upends her own reality."I love you. In every world."Young real estate agent Madison May is shocked when a client at an open house says these words to her. The man, a stranger, seems to know far too much about her, and professes his love - shortly before he murders her.Felicity Staples hates reporting on murders. As a journalist for a mid-size New York City paper, she knows she must take on the assignment to research Madison May's shocking murder, but the crime seems random and the suspect is in the wind. That is, until Felicity spots the killer on the subway, right before he vanishes.Soon, Felicity senses her entire universe has shifted. No one remembers Madison May, or Felicity's encounter with the mysterious man. And her cat is missing. Felicity realizes that in her pursuit of Madison's killer, she followed him into a different dimension - one where everything about her existence is slightly altered. At first, she is determined to return to the reality she knows, but when Madison May - in this world, a struggling actress - is murdered again, Felicity decides she must find the killer - and learns that she is not the only one hunting him.Traveling through different realities, Felicity uncovers the opportunity - and danger - of living more than one life.Trade ReviewWith unrelenting tension, Max Barry weaves a complex tapestry where a sociopath's insatiable obsession knows no bounds, not even time and space, and only two things are certain - he will kill her again because he's killed her before. I devoured this novel in one sitting * J.D. Barker, author of A Caller's Game *Original, intelligent, unputdownable * The Guardian *Gripping . . . this is the sort of tricksiness Barry was put on Earth for * The Times *A very enjoyable thriller with a very satisfying ending * Mystery and Suspense Magazine *There are the familiar dislocations and dilemmas of a quest that flings its characters across separate but related realities, but these are seasoned with the wit, menace and pacy excitement of a nicely controlled, neatly structured crime thriller * ParSec Magazine *Barry strives to paint equally compelling portraits of the two women and comes pretty darn close. Each character assumes a fully rounded and weighty resonance . . . Dynamic, suspenseful action with a light frosting of metaphysics * Washington Post *Mr. Barry avoids the obvious sci-fi option of thinking up lots of exciting worlds, and takes the grittier route of imagining intrusions into the underbelly of this one . . . Unnerving. He navigates the multiverse and the concepts of string theory and chaos theory with frightening conviction. Let's hope he just made it all up * Wall Street Journal *Sci-fi wizard Barry sets a serial killer loose in the multiverse with mind-bending results * People *Beware Max Barry. Once his story grabs hold, you will forget to eat, sleep, and bathe until you're left with the world's worst book hangover. An exhilarating rocket shot of a thriller tempered with Barry's trademark wit and warmth * David Yoon, author of Version Zero and Frankly in Love *

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Book Synopsis'Real science can be far stranger than science fiction, and much more satisfying'Will artificial intelligence outsmart us?Is there other intelligent life in the universe?Throughout his extraordinary career, Stephen Hawking expanded our understanding of the universe and unravelled some of its greatest mysteries. Will Artificial Intelligence Outsmart Us? considers the threat of artificial super-intelligence - as well as the likelihood of intelligent life beyond our planet.'Modest, profound and sometimes very funny' Sunday TimesBrief Answers, Big Questions: this stunning paperback series offers electrifying essays from one of the greatest minds of our age, taken from the original text of the No. 1 bestselling Brief Answers to the Big Questions.

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Book SynopsisArtificial intelligence is everywhere - from self-driving cars, to image generation from text, to the unexpected power of language systems like ChatGPT - yet few people seem to know how it all really works. How AI Works unravels the mysteries of artificial intelligence, without the complex math and unnecessary jargon. You'll learn: the relationship between artificial intelligence, machine learning, and deep learning; the history behind AI and why the artificial intelligence revolution is happening now; how decades of work in symbolic AI failed and opened the door for the emergence of neural networks; what neural networks are, how they are trained, and why all the wonder of modern AI boils down to a simple, repeated unit that knows how to multiply input numbers to produce an output number, and the implications of large language models, like ChatGPT and Bard, on our society - nothing will be the same again. AI isn't magic. If you've ever wondered how it works, what it can do, or why theTrade Review"Succinct and clear-cut . . . a beacon for those wanting to delve into the mesmerizing world of AI, offering a detailed yet comprehensible overview of the evolutionary trajectory of machine learning technologies, from their rudimentary forms to the pioneering entities of today."—Antoine Tardif, CEO, Unite.AI“A tour de force of the rich history of artificial intelligence . . . For beginners, it demystifies AI and is a perfect resource to get up to date with more than six decades of research and development. . . . Even AI experts will gain a fresh perspective, enhancing their understanding and ability to articulate complex concepts."—Ben Dickson, Software Engineer, Editor of TechTalks"Kneusel does a superb job of explaining the evolution and intricacies of artificial intelligence with a combination of clarity and wit . . . Anyone who wants to understand the concepts of artificial intelligence, as well as its limitations and possible pitfalls, along with the tremendous potential it has to transform technology and society over time should read How AI Works."—Tony Bradley, Editor-in-Chief, TechSpective“A friendly and personal peek behind the curtain of modern AI. Ronald T. Kneusel tells the story of how the field grew, and surveys the ideas that are powering the AI revolution. From this book, you'll learn not only how AI works today, but its limits, its capabilities, and where it might take us tomorrow.”—Andrew Glassner, Author of Deep Learning: A Visual Approach"A must-read for anyone wishing to dig into AI without getting lost in the weeds. Kneusel has succeeded in explaining how AI works to a layperson like myself."—Kenneth Gass, Honorary Curator of Geology, Milwaukee Public Museum“After reading this book, I have a better understanding of the ML tools I have already used in my work . . . I recommend this book to anyone who works with software systems, including management, and anyone who just wants to know what AI actually does under the hood.”—Daniel Kosey, CISSP, Cybersecurity Engineer"If all the hype and reporting about AI has piqued your curiosity, but you don’t want to wade through the math and equations, Ron Kneusel’s latest book is for you. . . . You will no doubt learn a lot as you make your way from the earliest ideas about AI to today’s best models that are knocking at the door of True AI."—David Gorodetzky, Senior Scientist, Machine Learning and Remote Sensing"An excellent starting point for the enthusiast and anyone who wants to know what AI is and will be. . . . The author has another hit science book on a fascinating and apropos topic."—David S. Mazel, Principal/Manager Systems Engineer, Regulus-Group "AI isn't magic. If you've ever wondered how it works, what it can do, or why there's so much hype, How AI Works will teach you everything you want to know."—Midwest Book ReviewTable of ContentsAcknowledgmentsPrefaceChapter 1: And Away We Go: An AI OverviewChapter 2: Why Now? A History of AIChapter 3: Classical Models: Old-School Machine LearningChapter 4: Neural Networks: Brain-Like AIChapter 5: Convolutional Neural Networks: AI Learns to SeeChapter 6: Generative AI: AI Gets Creative Chapter 7: Large Language Models: True AI at Last?Chapter 8: Musings: The Implications of AIGlossaryResourcesIndex

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Book SynopsisAn urgent book on generative artificial interlligence from one of the top US journalists in the tech field, exploring the risk and benefits looming.

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