Information theory Books

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Book SynopsisThis new edition of Wilde's popular book promises over 100 pages of new material, exercises and references. New attention is given to the derivation of the Choi-Kraus theorem for quantum channels, the CHSH game, quantum relative entropy, and sequential decoding. The text offers an ideal entry point into the topic for graduate students.Trade Review'For years, I have been hoping that somebody would write a book on quantum information theory that was clear, comprehensive, and up to date. This is that book. And the second edition is even better than the first.' Peter Shor, Massachusetts Institute of Technology'Mark M. Wilde's Quantum Information Theory is a natural expositor's labor of love. Accessible to anyone comfortable with linear algebra and elementary probability theory, Wilde's book brings the reader to the forefront of research in the quantum generalization of Shannon's information theory. What had been a gaping hole in the literature has been replaced by an airy edifice, scalable with the application of reasonable effort and complete with fine vistas of the landscape below. Wilde's book has a permanent place not just on my bookshelf but on my desk.' Patrick Hayden, Stanford University, CaliforniaReview of previous edition: '… [its] clear, thorough, and above all self-contained presentation will aid quantum information researchers in coming up to speed with the latest results in this area of the field. Meanwhile, the familiar setting and language will help classical information theorists who wish to become more acquainted with the quantum aspects of information processing … The presentation is well-structured, making it easy to jump to the desired topic and quickly determine on what that topic depends and how it is used going forward … Quantum Information Theory fills an important gap in the existing literature and will, I expect, help propagate the latest and greatest results in quantum Shannon theory to both quantum and classical researchers.' Joseph M. Renes, Quantum Information ProcessingReview of previous edition: '… a modern self-contained text … suitable for graduate-level courses leading up to research level.' Journal of Discrete Mathematical Sciences and CryptographyReview of previous edition: '… the book does a phenomenal job of introducing, developing and nurturing a mathematical sense of quantum information processing … In a nutshell, this is an essential reference for students and researchers who work in the area or are trying to understand what it is that quantum information theorists study. Wilde, as mentioned in his book, beautifully illustrates 'the ultimate capability of noisy physical systems, governed by the laws of quantum mechanics, to preserve information and correlations' through this book. I would strongly recommend it to anyone who plans to continue working in the field of quantum information.' Subhayan Roy Moulick, SIGCAT NewsTable of ContentsPreface to the second edition; Preface to the first edition; How to use this book; Part I. Introduction: 1. Concepts in quantum Shannon theory; 2. Classical Shannon theory; Part II. The Quantum Theory: 3. The noiseless quantum theory; 4. The noisy quantum theory; 5. The purified quantum theory; Part III. Unit Quantum Protocols: 6. Three unit quantum protocols; 7. Coherent protocols; 8. Unit resource capacity region; Part IV. Tools of Quantum Shannon Theory: 9. Distance measures; 10. Classical information and entropy; 11. Quantum information and entropy; 12. Quantum entropy inequalities and recoverability; 13. The information of quantum channels; 14. Classical typicality; 15. Quantum typicality; 16. The packing lemma; 17. The covering lemma; Part V. Noiseless Quantum Shannon Theory: 18. Schumacher compression; 19. Entanglement manipulation; Part VI. Noisy Quantum Shannon Theory: 20. Classical communication; 21. Entanglement-assisted classical communication; 22. Coherent communication with noisy resources; 23. Private classical communication; 24. Quantum communication; 25. Trading resources for communication; 26. Summary and outlook; Appendix A. Supplementary results; Appendix B. Unique linear extension of a quantum physical evolution; References; Index.

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Book SynopsisInfrastructure forms the economic backbone of modern society. It is a key determinant of economic competitiveness, social well-being and environmental sustainability. Yet infrastructure systems (energy, transport, water, waste and ICT) in advanced economies globally face serious challenges. For the first time, a leading team of researchers sets out a systematic approach to making long-term choices about national infrastructure systems. Great Britain is used as a case study to demonstrate how the methodologies and accompanying models can be effectively applied in a national infrastructure assessment. Lessons and insights for other industrialised nations and emerging economies are highlighted, demonstrating practical scenarios for delivering infrastructure services in a wide range of future socio-economic and environmental conditions. The Future of National Infrastructure provides practitioners, policy-makers, and academics with the concepts, models and tools needed to identify and test Table of ContentsList of contributors; Preface; Part I. A System-of-Systems Approach: 1. Introducing national infrastructure assessment Jim W. Hall, Robert J. Nicholls, Adrian J. Hickford and Martino Tran; 2. A framework for analysing the long-term performance of interdependent infrastructure systems Jim W. Hall, Alexander Otto, Adrian J. Hickford, Robert J. Nicholls and Martino Tran; Part II. Analysing National Infrastructure: 3. Future demand for infrastructure services Chris Thoung, Rachel Beaven, Chengchao Zuo, Mark Birkin, Peter Tyler, Douglas Crawford-Brown, Edward J. Oughton and Scott Kelly; 4. Energy systems assessment Pranab Baruah, Modassar Chaudry, Meysam Qadrdan, Nick Eyre and Nick Jenkins; 5. Transport systems assessment Simon P. Blainey and John M. Preston; 6. Water supply systems assessment Mike Simpson, Matthew C. Ives, Jim W. Hall and Chris G. Kilsby; 7. Wastewater systems assessment Lucy Manning, David W. Graham and Jim W. Hall; 8. Solid waste systems assessment Geoff V. R. Watson, Anne Stringfellow, William Powrie, David A. Turner and Jon Coello; 9. Digital communications and information systems Edward J. Oughton, Martino Tran, Cliff B. Jones and Razgar Ebrahimy; Part III. Integrative Perspectives for the Future: 10. Assessing the performance of national infrastructure strategies Martino Tran, Jim W. Hall, Robert J. Nicholls and Adrian J. Hickford; 11. Quantifying interdependencies: the energy-transport and water-energy nexus Martino Tran, Edward A. Byers, Simon P. Blainey, Pranab Baruah, Modassar Chaudry, Meysam Qadrdan, Nick Eyre and Nick Jenkins; 12. Analysing the risks of failure of interdependent infrastructure networks Raghav Pant, Scott Thacker, Jim W. Hall, Stuart Barr, David Alderson and Scott Kelly; 13. Database, simulation modelling and visualisation for national infrastructure assessment Stuart Barr, David Alderson, Matthew C. Ives and Craig Robson; 14. Governance of interdependent infrastructure networks Ralitsa Hiteva and Jim W. Watson; 15. The future of national infrastructure Jim W. Hall, Robert J. Nicholls, Martino Tran and Adrian J. Hickford; Index.

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Book SynopsisThis book discusses the theoretical limits of information transfer in random wireless networks or ad hoc networks, where nodes are distributed uniformly in space and there is no centralised control. It provides a detailed analysis of the two relevant notions of capacity for random wireless networks transmission capacity and throughput capacity. The book starts with the transmission capacity framework that is first presented for the single-hop model and later extended to the multi-hop model with retransmissions. Reusing some of the tools developed for analysis of transmission capacity, a few key long-standing questions about the performance analysis of cellular networks are also provided for the benefit of students. The discussion goes further into the concept of hierarchical co-operation that allows throughput capacity to scale linearly with the number of nodes. The author finally discusses the concept of hierarchical co-operation that allows throughput capacity to scale linearly with the number of nodes.Table of ContentsList of figures; Preface; Acknowledgements; Notations; 1. Introduction; 2. Transmission capacity of ad hoc networks; 3. Multiple antennas; 4. Two-way networks; 5. Performance analysis of cellular networks; 6. Delay normalized transmission capacity; 7. Percolation theory; 8. Percolation and connectivity in wireless networks; 9. Throughput capacity; Index.

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Book SynopsisThis unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. It presents fundamental signal processing theories and software implementations, reviews current research trends and challenges, and describes the techniques used for analysis, design and optimization. Readers will learn about key theoretical issues such as data modelling and representation, scalable and low-complexity information processing and optimization, tensor and sublinear algorithms, and deep learning and software architecture, and their application to a wide range of engineering scenarios. Applications discussed in detail include wireless networking, smart grid systems, and sensor networks and cloud computing. This is the ideal text for researchers and practising engineers wanting to solve practical problems involving large amounts of data, and for students looking to grasp the fundamentals of big data analytics.Trade Review'A very nice balanced treatment over two large-scale signal processing aspects: mathematical backgrounds versus big data applications, with a strong flavor of distributed optimization and computation.' Shuguang Cui, University of California, DavisTable of ContentsPart I. Overview of Big Data Applications: 1. Introduction; 2. Data parallelism: the supporting architecture; Part II. Methodology and Mathematical Background: 3. First order methods; 4. Sparse optimization; 5. Sublinear algorithms; 6. Tensor for big data; 7. Deep learning and applications; Part III. Big Data Applications: 8. Compressive sensing based big data analysis; 9. Distributed large-scale optimization; 10. Optimization of finite sums; 11. Big data optimization for communication networks; 12. Big data optimization for smart grid systems; 13. Processing large data set in MapReduce; 14. Massive data collection using wireless sensor networks.

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Book SynopsisLearn about an information-theoretic approach to managing interference in future generation wireless networks. Focusing on cooperative schemes motivated by Coordinated Multi-Point (CoMP) technology, the book develops a robust theoretical framework for interference management that uses recent advancements in backhaul design, and practical pre-coding schemes based on local cooperation, to deliver the increased speed and reliability promised by interference alignment. Gain insight into how simple, zero-forcing pre-coding schemes are optimal in locally connected interference networks, and discover how significant rate gains can be obtained by making cell association decisions and allocating backhaul resources based on centralized (cloud) processing and knowledge of network topology. Providing a link between information-theoretic analyses and interference management schemes that are easy to implement, this is an invaluable resource for researchers, graduate students and practicing engineersTrade Review'This is a concise, rigorous and authoritative introduction to the information-theoretic analysis of interference management in wireless systems. It provides a principled and comprehensive reference for students and researchers with a background in communication and information theory.' Osvaldo Simeone, Kings College London'Veeravalli and El Gamal have successfully captured in this book a most productive decade of fundamental research breakthroughs in our understanding of interference management and, especially, the role of cooperation in wireless networks. The topics covered are not only some of the most exciting directions for future wireless networks, but also they showcase some of the most elegant insights that information theory has to offer.' Syed Jafar, University of California, Irvine'With new wireless networks becoming dramatically more complex to optimize, especially from an interference point of view, the availability of solid theoretical tools allowing to study the fundamental radio access performance of future mobile systems is a great plus to engineers and researchers alike. Up to my knowledge, this book is among the very first to give a solid and comprehensive analytical perspective in this area.' David Gesbert, EURECOM'The book stands out with its comprehensive treatment of fundamental information-theoretic tools for interference management and with detailed descriptions of algorithms that implement these tools. The book is thus very valuable for everyone who wants to understand how to design good practical interference management systems.' Michèle Wigger, Télécom ParisTechTable of Contents1. Introduction to interference management; 2. System model and sum capacity characterization; 3. Degrees of freedom (DoF) and interference alignment; 4. Iterative algorithms for interference management; 5. DoF with coordinated multi-point (CoMP) transmission; 6. Locally connected channels with CoMP; 7. Backhaul load constraint; 8. Cellular uplink; 9. Dynamic interference management; 10. Recent advances and open problems; Appendix A. Information theory; Appendix B. Algebraic geometry.

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Book SynopsisInformation is central to the evolution of biological complexity, a physical system relying on a continuous supply of energy. Biology provides superb examples of the consequent Darwinian selection of mechanisms for efficient energy utilisation. Genetic information, underpinned by the Watson-Crick base-pairing rules is largely encoded by DNA, a molecule uniquely adapted to its roles in information storage and utilisation.This volume addresses two fundamental questions. Firstly, what properties of the molecule have enabled it to become the predominant genetic material in the biological world today and secondly, to what extent have the informational properties of the molecule contributed to the expansion of biological diversity and the stability of ecosystems. The author argues that bringing these two seemingly unrelated topics together enables Schrödinger''s What is Life?, published before the structure of DNA was known, to be revisited and his ideas examined in the context of our currenTrade Review'The essence of the book is in its title. The DNA structures and topology are described so clearly that the reader perceives these intricacies as pure evolutionary elegance, and understands WHY it is only in its balance of stability and agility that life could have started its journey. This book explains how DNA has become the fascinating prism, made of a fabric of complexity and information, into which the living reflects itself. My opinion is passionate because I have been thinking about the same problems for decades, and here I find many of the answers. Especially: what makes DNA so unique? It is a text that I keep reading over again.' Ernesto Di Mauro, IBPM, National Research Council, Rome'In What Is Life? Schrödinger conjectured that, in animate matter, order is derived from order, foreshadowing the discovery of DNA structure. Why DNA? is about this molecule and its dual information content - in linear genetic code and in thermodynamics of three-dimensional DNA structures. It addresses how DNA's intrinsic order led to complex, highly ordered living organisms, in a world that strives towards disorder. Why would DNA supplant RNA in carrying hereditary information during biological evolution? Why did multicellular organisms emerge, since natural selection favours the fittest, such as simple bacteria? What is complexity, and what has it to do with Bayesian logic? How do complexity, information and energy interrelate? This is a succinct discourse on Schrödinger's question, expanding from molecular interactions and genome cooperation to ecological systems and societal evolution. A must-read for biology scholars, and anyone interested in life's origins, biological evolution and the interface of biology and physics.' Georgi Muskhelishvili, Agricultural University of Georgia, TbilisiTable of ContentsAcknowledgements; Preface; 1. The perennial question; 2. The nature of information – information, complexity and entropy; 3. DNA – the molecule; 4. The evolution of biological complexity; 5. Cooperating genomes; 6. DNA, information and complexity; 7. Origins; 8. The complexity of societies; 9. Why DNA – and not RNA?; General reading and bibliography.

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Book SynopsisDiscover the very latest game-theoretic approaches for designing, modeling, and optimizing emerging wireless communication networks and systems with this unique text. Providing a unified and comprehensive treatment throughout, it explains basic concepts and theories for designing novel distributed wireless networking mechanisms, describes emerging game-theoretic tools from an engineering perspective, and provides an extensive overview of recent applications. A wealth of new tools is covered - including matching theory and games with bounded rationality - and tutorial chapters show how to use these tools to solve current and future wireless networking problems in areas such as 5G networks, network virtualization, software defined networks, cloud computing, the Internet of Things, context-aware networks, green communications, and security. This is an ideal resource for telecommunications engineers, and researchers in industry and academia who are working on the design of efficient, scalaTrade Review'The authors are renowned experts of the applications of game theory to communication and networking problems. This book is timely and, pedagogical, and provides state-of-the-art results for the design of next generation distributed networks. I strongly encourage everyone in our field to have it as a reference textbook.' Merouane Debbah, CentraleSupélecTable of Contents1. Introduction; Part I. Theory: 2. Matching games; 3. Contract theory; 4. Stochastic games; 5. Games with bounded rationality; 6. Learning in games; 7. Equilibrium programming with equilibrium constraints; 8. Miscellaneous games; Part II. Applications: 9. Applications of game theory in Internet of Things; 10. Applications of game theory in network virtualization; 11. Applications of game theory in cloud networking; 12. Applications of game theory in context-aware networks and mobile services; 13. Applications of game theory for green communication networks; 14. 4G, 5G and beyond; 15. Security; Notes; References; Index.

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Book SynopsisModel checking is one of the most successful verification techniques and has been widely adopted in traditional computing and communication hardware and software industries. This book provides the first systematic introduction to model checking techniques applicable to quantum systems, with broad potential applications in the emerging industry of quantum computing and quantum communication as well as quantum physics. Suitable for use as a course textbook and for self-study, graduate and senior undergraduate students will appreciate the step-by-step explanations and the exercises included. Researchers and engineers in the related fields can further develop these techniques in their own work, with the final chapter outlining potential future applications.Trade Review'This book gives a thorough account of the principles of model checking for quantum systems. It covers the basics of verifying qualitative properties such as reachability as well as quantitative properties on quantum Markov chains. This is the first comprehensive work on this young and exciting research field.' Joost-Pieter Katoen, RWTH Aachen University'The authors have been, from the start of the quantum computer science endeavour, at the forefront of research in logical methods for quantum computing. This book provides the best possible introduction to quantum model checking, by the pioneers of the field. Bob Coecke, University of Oxford'A brief final chapter offering conclusions and future prospects will be of wider interest. This work is intended as an introduction for researchers entering the field of quantum computing, and is suitable as a textbook for physics or computer science graduate students … Recommended.' M. C. Ogilvie, Choice MagazineTable of Contents1. Introduction; 2. Basics of Model Checking; 3. Basics of Quantum Theory; 4. Model Checking; 5. Model Checking Quantum Markov Chains; 6. Model Checking Super-operator-valued Markov Chains; 7. Conclusions and Prospects.

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Book SynopsisCommunication complexity is the mathematical study of scenarios where several parties need to communicate to achieve a common goal. This tutorial text explains fundamentals and recent developments in an accessible and illustrated form, including applications in circuit complexity, proof complexity, streaming algorithms and distributed computing.Trade Review'This looks like an essential resource for any student who wants to understand deterministic and randomized communication complexity deeply.' Scott Aaronson, University of Texas'Communication complexity is not only a beautiful and important area of the theory of computing, it is also vibrant and ever-changing. Two of the leading researchers in this area take us through a fascinating journey into the theory and applications of communication complexity and through old and new jams. I feel inspired to teach a course based on this book and help spread the word.' Omer Reingold, Stanford University, California'This book is a much-needed introductory text on communication complexity. It will bring the reader up to speed on both classical and more recent lower bound techniques, and on key application areas. An invaluable resource for anyone interested in complexity theory.' Mark Braverman, Princeton University, New Jersey'… a great book … relevant to advanced undergrads and graduate students alike, while the more advanced topics will also be of interest to researchers …' Michael Cadilhac, SIGACT News Book review column'… must-have reference for students but will be welcomed by researchers as well because it is so well-written and aptly organized … Highly recommended.' A. Misseldine, CHOICETable of ContentsPreface; Conventions and preliminaries; Introduction; Part I. Communication: 1. Deterministic protocols; 2. Rank; 3. Randomized protocols; 4. Numbers on foreheads; 5. Discrepancy; 6. Information; 7. Compressing communication; 8. Lifting; Part II. Applications: 9. Circuits and proofs; 10. Memory size; 11. Data structures; 12. Extension Complexity of Polytopes; 13. Distributed computing.

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Book SynopsisTable of ContentsPart 1: Data Structures.- Chapter 1: Intro to DSA, Types and Big-O.- Chapter 2: Linear Data Structures.- Chapter 3: Tree Data Structures.- Chapter 4: Hash Data Structures.- Chapter 5: Graphs.- Part 2: Algorithms.- Chapter 6: Linear and Binary Search.- Chapter 7: Sorting Algorithms.- Chapter 8: Searching Algorithms.- Chapter 9: Clustering Algorithms.- Chapter 10: Randomness.- Chapter 11: Scheduling Algorithms.- Chapter 12: Algorithm Planning and Design.- Appendix A: Going Further.-

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Book SynopsisAccording to virtually every business writer, we are in the midst of a new information age, one that will revolutionize how workers work, how companies compete, perhaps even how thinkers think. And it is certainly true that Information Technology has become a giant industry. In America, more that 50% of all capital spending goes into IT, accounting for more than a third of the growth of the entire American economy in the last four years. Over the last decade, IT spending in the U.S. is estimated at 3 trillion dollars. And yet, by almost all accounts, IT hasn''t worked all that well. Why is it that so many of the companies that rave invested in these costly new technologies never saw the returns they had hoped for? And why do workers, even CEOs, find it so hard to adjust to new IT systems? In Information Ecology, Thomas Davenport proposes a revolutionary new way to look at information management, one that takes into account the total information environment within an organization. ArguiTrade Review"An important, must-read book about managers and their information needs."--F.Warren McFarlan, Albert H. Gordon Professor of Business Administration, Harvard University"Information Ecology defines mobilization for the future, a topic that is clearly thought provoking and one that we must all address if true information technology return on investment is to occur."--Ralph J. Szygenda, Vice President and Chief Executive Officer, General Motors Corporation'...a timely corrective to the technophile culture that has dominated the field of information to date...an informative book for those who want to manage information and not just IT to the best effect within both business and healthcare.' * Chris Atkinson, British Jnl of Healthcare Computing & Information Management, vol.15, Number 5 *A well argued , and well presented, case that needs to be read by all those wrestling with this critical subject. - Stuart MacDonald - Long Range Planning Vol 31 Oct 1988

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Book SynopsisEvery Thing Must Go argues that the only kind of metaphysics that can contribute to objective knowledge is one based specifically on contemporary science as it really is, and not on philosophers'' a priori intuitions, common sense, or simplifications of science. In addition to showing how recent metaphysics has drifted away from connection with all other serious scholarly inquiry as a result of not heeding this restriction, they demonstrate how to build a metaphysics compatible with current fundamental physics (''ontic structural realism''), which, when combined with their metaphysics of the special sciences (''rainforest realism''), can be used to unify physics with the other sciences without reducing these sciences to physics itself. Taking science metaphysically seriously, Ladyman and Ross argue, means that metaphysicians must abandon the picture of the world as composed of self-subsistent individual objects, and the paradigm of causation as the collision of such objects.Everything Trade ReviewThis material is dense, challenging and creative...a provovative book...the authors are to be commended for taking on the challenge to develop a systematic, scientifically informed metaphysics for the twenty-first century. * Paul W. Humphreys Metascience *This challenging and provocative book contends that contemporary fundamental physics carries radically counterintuitive consequences for metaphysics * Jarrett Leplin, Philosophical Papers *an enticing work * Jeremy Butterfield, Times Literary Supplement *Table of ContentsPreface ; 1. In Defence of Scientism ; 2. Scientific Realism, Constructive Empiricism and Structuralism ; 3. Ontic Structural Realism and the Philosophy of Physics ; 4. Rainforest Realism and the Unity of Science ; 5. Causation in a Structural World ; 6. Conclusion - Philosophy Enough ; Bibliography

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Book SynopsisGunther Kress, IOE, UCL's Faculty of Education and Society, University College London, UKTheo Van Leeuwen, Faculty of Humanities and Social Sciences, University of Technology Sydney, AustraliaTrade Review'Multimodal Discourse is the theoretical browser we need to navigate the exuberant multimodality of the highly mediated owrld in which we live. For students and specialists in communication or semiotics, cultural studies or linguistics, graphic design or anthropology this is the foundationla theory of how meaning is made in this period of increasing semiotic fragmentation and cross-over.' Ron Scollon, Professor of Linguistics, Georgetown

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Book SynopsisKevin Williams is Professor of Media and Communication Studies at Swansea University. His publications include Get Me a Murder a Day! A History of Mass Communication in Britain (1998) and Shadows and Substance: The Development of a Media Policy for Wales (1997).Trade ReviewExcellent broad range covering the key areas of debate M Macher, Cambridge Regional CollegeTable of ContentsWhat is media theory?; production; content; reception; media policy and research.

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Book Synopsis Recommended by Bill Gates A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

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