Computing and Information Technology Books

Book SynopsisBuild search engines powered by the latest machine learning techniques and large language models.AI-Powered Search shows you how to build cutting-edge search engines that continuously learn from both your users and your content and drive more domain-aware and intelligent search. Inside you’ll learn modern, data-science-driven search techniques like: Semantic search using dense vector embeddings from foundation models Retrieval augmented generation Question answering and summarization combining search and LLMs Fine-tuning transformer-based LLMs Personalized search based on user signals and vector embeddings Collecting user behavioral signals and building signals boosting models Semantic knowledge graphs for domain-specific learning Implementing machine-learned ranking models (learning to rank) Building click models to automate machine-learned ranking Generative search, hybrid search, and the search frontier Today’s search engines are expected to be smart, understanding the nuances of natural language queries, as well as each user’s preferences and context. This book empowers you to build search engines that take advantage of user interactions and the hidden semantic relationships in your content to automatically deliver better, more relevant search experiences. You’ll even learn how to integrate large language models (LLMs) like GPT and other foundation models to massively accelerate the capabilities of your search technology. About the book AI-Powered Search is a hands-on guide to applying leading-edge data science techniques to search. It teaches you how to build search engines that automatically understand the intent of your users’ queries in order to deliver significantly more relevant search results. You’ll use LLMs for embeddings, question answering, and results summarization, as well as learning how to fine tune them for the best results. Working through code in interactive notebooks, you’ll deploy intelligent AI-powered search systems that deliver real-time personalization and contextual understanding of each user, domain, and query through a self-learning search platform that continuously learns from evolving content and user interactions. About the reader For software developers and data scientists familiar with the basics of search engine technology. About the author Trey Grainger is the Founder of Searchkernel (AI-powered search), CTO of Presearch (decentralized web search), and former Chief Algorithms Officer and SVP of Engineering at Lucidworks (ecommerce, site, and enterprise search). Trey also co-authored Solr in Action (Manning 2014). Doug Turnbull is a Principal Engineer at Reddit (social discussion search), former Staff Relevance Engineer at Spotify (Ecommerce Search) and is the former Chief Technical Officer at OpenSource Connections. Doug also co-authored Relevant Search (Manning 2016). Max Irwin is the Founder of Max.io (AI model scaling) and former Managing Consultant at OpenSource Connections (search relevance consulting).

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Book SynopsisMaster essential best practices for deploying and managing applications on Amazon Web Services. The ideal guide for mid-level developers, DevOps or platform engineers, architects, and system administrators. Amazon Web Services in Action: An in-depth guide to AWS is a comprehensive, practical introduction to deploying and managing applications on the AWS cloud platform. This revised bestseller is packed with techniques for building highly available and scalable architectures and automating deployment with Infrastructure as Code. This book will show you how to: Leverage globally distributed data centres to launch virtual machines with EC2 Store and archive large volumes of data with EBS, S3, and EFS Persist and query data with highly available and scalable database systems with RDS and DynamoDB Enhance performance with caching data in-memory with ElastiCache and MemoryDB Use Infrastructure as Code to automate your cloud infrastructure Secure workloads running in the cloud with VPC and IAM Build fault-tolerant web applications with ALB and SQS Automate common sysadmin tasks with Lambda, CLI, and SDK Build cloud-native applications based on containers with AppRunner, ECS, Fargate About the technology Thousands of developers have chosen Amazon Web Services in Action: An in-depth guide to AWS to help them succeed with the AWS cloud. Readers love this all-practical handbook for its complete introduction to computing, storage, and networking, along with best practices for all core AWS services. Amazon Web Services, the leading cloud computing platform, offers customers APIs for on-demand access to computing services. Rich in examples and best practices of how to use AWS, this Manning bestseller is now released in its third, revised, and improved edition.Trade Review"Up-to-date coverage. Code examples and configurations are all excellent. Even containerization is very well explained. This is the bible for Amazon Web Services." Mohammad Shahnawaz Akhter, Bank of America "It has never been so easy to learn AWS." Jorge Ezequiel Bo, TravelX "Essential for those who decide to embark on the Amazon cloud journey." Matteo Rossi, UnipolSai Assicurazioni A complete introduction to the most important AWS Services with very useful practical examples. Matteo Battista, GamePix

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Book SynopsisArmen Vardanyan is a front-end team lead from Armenia and a Google Developer Expert for Angular. He writes articles about Angular, TypeScript, NgRx, and is a panelist in the popular Adventures in Angular podcast, as well as a public tech speaker and mentor.

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Book SynopsisThis comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more. Fundamental concepts are supported by real-world examples, query and code walkthroughs, and figures, making it perfect for introductory courses for advanced undergraduates and graduate students in information systems or computer science. These examples are further supported by an online playground with multiple learning environments, including MySQL, MongoDB, Neo4j Cypher, and tree structure visualization. This combined learning approach connects key concepts throughout the text to the important, practical tools to get started in database management.Trade Review'Although there have been a series of classical textbooks on database systems, the new dramatic advances call for an updated text covering the latest significant topics, such as big data analytics, No-SQL and much more. Fortunately, this is exactly what this book has to offer. It is highly desirable for training the next generation of data management professionals.' Jian Pei, Simon Fraser University, Canada'I haven't seen an as up-to-date and comprehensive textbook for Database Management as this one in many years. Principles of Database Management combines a number of classical and recent topics concerning Data Modeling, Relational Databases, Object-Oriented Databases, XML, Distributed Data Management, NoSQL and Big Data in an unprecedented manner. The authors did a great job in stitching these topics into one coherent and compelling story that will serve as an ideal basis for teaching both introductory and advanced courses.' Martin Theobald, University of Luxembourg'This is a very timely book with outstanding coverage of database topics and excellent treatment of database details. It not only gives very solid discussions of traditional topics like data modeling and relational databases but also contains refreshing contents on frontier topics such as XML databases, NoSQL databases, big data, and analytics. For those reasons, this will be a good book for database professionals who will keep using it for all stages of database studies and works.' J. Leon Zhao, City University of Hong Kong'This accessible, authoritative book introduces the reader the most important fundamental concepts of data management, while providing a practical view of recent advances. Both are essential for data professionals today.' Foster Provost, New York University, Stern School of Business'This guide to big and small data management addresses both fundamental principles and practical deployment. It reviews a range of databases and their relevance for analytics. The book is useful to practitioners because it contains many case studies, links to open-source software, and a very useful abstraction of analytics that will help them better choose solutions. It is important to academics because it promotes database principles which are key to successful and sustainable data science.' Sihem Amer-Yahia, Laboratoire d'Informatique de Grenoble and Editor-in-Chief the International Journal on Very Large DataBases'This book covers everything you will need to teach in a database implementation and design class. With some chapters covering big data, analytic models/methods, and No-SQL, it can keep our students up-to-date with these new technologies in data management related topics.' Han-fen Hu, University of Nevada, Las Vegas'As we are entering a new technological era of intelligent machines powered by data-driven algorithms, understanding fundamental concepts of data management and their most current practical applications has become more important than ever. This book is a timely guide for anyone interested in getting up to speed with the state of the art in database systems, big data technologies, and data science. It is full of insightful examples and case studies with direct industrial relevance.' Nesime Tatbul, Intel Labs and Massachusetts Institute of Technology'It is a pleasure to study this new book on database systems. The book offers a fantastically fresh approach to database teaching. The mix of theoretical and practical contents is almost perfect, the content is up-to-date and covers the recent ones, the examples are nice, and the database testbed provides an excellent way of understanding the concepts. Coupled with the authors 'expertise, this book is an important addition to the database field.' Arnab Bhattacharya, Indian Institute of Technology, Kanpur'Principles of Database Management is my favorite textbook for teaching a course on database management. Written in a well-illustrated style, this comprehensive book covers essential topics in established data management technologies and recent discoveries in data science. With a nice balance between theory and practice, it is not only an excellent teaching medium for students taking information management and/or data analytics courses, but also a quick and valuable reference for scientists and engineers working in this area.' Chuan Xiao, Graduate School of Informatics, Nagoya University'Data science success stories and big data applications are only possible because of advances in database technology. This book provides both a broad and deep introduction to databases. It covers the different types of database systems (from relational to noSQL) and manages to bridge the gap between data modeling and the underlying basic principles. The book is highly recommended for anyone that wants to understand how modern information systems deal with ever-growing volumes of data.' Wil van der Aalst, RWTH Aachen University'The database field has been evolving for several decades and the need for updated textbooks is continuous. Now, this need is covered by this fresh book by Lemahieu, van den Broucke and Baesens. It spans from traditional topics - such as the relational model and SQL - to more recent topics – such as distributed computing with Hadoop and Spark as well as data analytics. The book can be used as an introductory text and for graduate courses.' Yannis Manolopoulos, Data Science & Engineering Lab, Aristotle University of Thessaloniki'I like the way the book covers both traditional database topics and newer material such as big data, No-SQL databases, and data quality. The coverage is just right for my course and the level of the material is very appropriate for my students. The book also has clear explanations and good examples.' Barbara Klein, University of MichiganThis book provides a unique perspective on database management and how to store, manage, and analyze small and big data. The accompanying exercises and solutions, cases, slides, and YouTube lectures turn it into an indispensable resource for anyone teaching an undergraduate or postgraduate course on the topic.' Wolfgang Ketter, Erasmus University Rotterdam'This is a very modern textbook that fills the needs of current trends without sacrificing the need to cover the required database management systems fundamentals.' George Dimitoglou, Hood College, Maryland'This book is a much needed foundational piece on data management and data science. The authors successfully integrate the fields of database technology, operations research and big data analytics, which have often been covered independently in the past. A key asset is its didactical approach that builds on a rich set of industry examples and exercises. The book is a must-read for all scholars and practitioners interested in database management, big data analytics and its applications.' Jan Mendling, Institute for Information Business, ViennaTable of ContentsPreface; Part I. Databases and Database Design: 1. Fundamental concepts of database management; 2. Architecture and categorization of DBMSs; 3. Conceptual data modeling using the (E)ER model and UML class diagram; 4. Organizational aspects of data management; Part II. Types of Database Systems: 5. Legacy databases; 6. Relational databases: the relational model; 7. Relational databases: structured query language (SQL); 8. Object oriented databases and object persistence; 9. Extended relational databases; 10. XML databases; 11. NoSQL databases; Part III. Physical Data Storage, Transaction Management, and Database Access: 12. Physical file organization and indexing; 13. Physical database organization; 14. Basics of transaction management; 15. Accessing databases and database APIs; 16. Data distribution and distributed transaction management; Part IV. Data Warehousing, Data Governance and (Big) Data Analytics: 17. Data warehousing and business intelligence; 18. Data integration, data quality and data governance; 19. Big data; 20. Analytics; Appendix A. Cases and questions; Appendix B. Using the online environment; Appendix C. Answer key to select review questions; Glossary; Index.

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Book SynopsisRobert Ness is a leading researcher in causal AI at Microsoft Research. He is a contributor to open-source causal inference packages such as Python's DoWhy and R's bnlearn.

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Book SynopsisIf you’re browsing the web, using public APIs, making and receiving electronic payments, registering and logging in users, or experimenting with blockchain, you’re relying on cryptography. And you’re probably trusting a collection of tools, frameworks, and protocols to keep your data, users, and business safe. It’s important to understand these tools so you can make the best decisions about how, where, and why to use them. Real-World Cryptography teaches you applied cryptographic techniques to understand and apply security at every level of your systems and applications. about the technologyCryptography is the foundation of information security. This simultaneously ancient and emerging science is based on encryption and secure communication using algorithms that are hard to crack even for high-powered computer systems. Cryptography protects privacy, secures online activity, and defends confidential information, such as credit cards, from attackers and thieves. Without cryptographic techniques allowing for easy encrypting and decrypting of data, almost all IT infrastructure would be vulnerable. about the book Real-World Cryptography helps you understand the cryptographic techniques at work in common tools, frameworks, and protocols so you can make excellent security choices for your systems and applications. There’s no unnecessary theory or jargon—just the most up-to-date techniques you’ll need in your day-to-day work as a developer or systems administrator. Cryptography expert David Wong takes you hands-on with cryptography building blocks such as hash functions and key exchanges, then shows you how to use them as part of your security protocols and applications. Alongside modern methods, the book also anticipates the future of cryptography, diving into emerging and cutting-edge advances such as cryptocurrencies, password-authenticated key exchange, and post-quantum cryptography. Throughout, all techniques are fully illustrated with diagrams and real-world use cases so you can easily see how to put them into practice. what's inside Best practices for using cryptography Diagrams and explanations of cryptographic algorithms Identifying and fixing cryptography bad practices in applications Picking the right cryptographic tool to solve problems about the readerFor cryptography beginners with no previous experience in the field. about the author David Wong is a senior engineer working on Blockchain at Facebook. He is an active contributor to internet standards like Transport Layer Security and to the applied cryptography research community. David is a recognized authority in the field of applied cryptography; he’s spoken at large security conferences like Black Hat and DEF CON and has delivered cryptography training sessions in the industry.

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Book SynopsisTim Boring  is a senior software engineer at Voltus, Inc. He has twenty years of experience in technology organizations ranging from small business to global enterprises. His career spans roles in technical support to site reliability and software engineering. Tim is most interested in the design of software systems and distributed systems in particular.

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Book SynopsisNir Dobovizki is a software architect and a senior consultant. He has worked on concurrent and asynchronous systems, mostly high-performance servers, since the late 90s. His career has spanned multiple companies in the medical, defense, and manufacturing industries, where he has solved numerous problems arising from incorrect usage of multithreading and asynchronous programming.

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Book SynopsisMark Liu is the founding director of the Master of Science in Finance program at the University of Kentucky.The technical editor on this book was Emmanuel Maggiori.

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Book SynopsisContract testing is a simple, reliable way to make sure that each service and API plays nice with other components so you can deploy independently and safely.

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Book SynopsisRazor Pages lets you build, configure, and deploy amazing dynamic ASP.NET websites with ease. In ASP.NET Core Razor Pages in Action you will learn: Building, configuring, and publishing a data-driven website Creating a complete web application step-by-step Forms for collecting and processing user data Connecting to databases from a Razor Page Protecting areas of a Razor Page from unauthorized access with ASP.NET Identity Using Object Relational Mapping tools to work with data in Razor Pages applications Generating CRUD pages using scaffolding gestures Generating and sending email from your web application ASP.NET Core Razor Pages in Action teaches you to develop dynamic websites using the powerful Razor Pages framework, .NET 6, and ASP.NET. Razor Pages generates HTML on the server, and is the perfect choice for eCommerce sites, intranet services, content management systems, and other apps that require reliability. In this book, you'll use Razor Pages to build a complete application for booking city breaks, learning to iterate amazing new features chapter-by-chapter. about the technology Razor Pages sits on top of .NET 6 as a key part of ASP.NET Core, and has become the recommended tool for any developer building websites with Microsoft technologies. The page-focused framework is great for building dynamic websites that change frequently, and simplifies the process of building complex applications. about the book ASP.NET Core Razor Pages in Action shows you how to use Razor Pages to create dynamic websites that are easy to test and scale. You'll go hands-on to build a complete vacation-booking application, incorporating new framework features and adding complexities as they're introduced. As the application unfolds, you'll see how Razor Pages simplifies all the essential tasks of web development, from form creation and data processing, to easy publication and deployment. You'll also learn to enhance your web applications with the huge ecosystem of C# libraries, and how to locate the perfect tool for your task using centralized repositories.Trade Review'If you need to develop LoB applications, particularly CRUD apps, this book will give you the tools.' Paul Brown 'A great resource to learn Razor Pages.' Lee Cottrell 'A high degree of clarity, with excellent diagrams and code examples.' Mike BaranTable of Contentstable of contents detailed TOC PART 1: GETTING STARTED READ IN LIVEBOOK 1GETTING STARTED WITH RAZOR PAGES READ IN LIVEBOOK 2YOUR FIRST APPLICATION READ IN LIVEBOOK 3WORKING WITH RAZOR PAGES READ IN LIVEBOOK 4MATCHING URLS TO RAZOR PAGES WITH ROUTING PART 2: APPLICATION DEVELOPMENT READ IN LIVEBOOK 5WORKING WITH FORMS - MODEL BINDING READ IN LIVEBOOK 6WORKING WITH FORMS - TAG HELPERS READ IN LIVEBOOK 7USING DEPENDENCY INJECTION TO MANAGE SERVICES READ IN LIVEBOOK 8WORKING WITH DATA READ IN LIVEBOOK 9MANAGING USERS WITH AUTHENTICATION READ IN LIVEBOOK 10CONTROLLING ACCESS WITH AUTHORIZATION READ IN LIVEBOOK 11CLIENT-SIDE TECHNOLOGIES AND AJAX PART 3: GOING LIVE READ IN LIVEBOOK 12TROUBLESHOOTING YOUR APPLICATION READ IN LIVEBOOK 13PROTECTING YOUR APPLICATION AGAINST EXTERNAL ATTACKS 14 PUBLISHING YOUR APPLICATION

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Book SynopsisFully updated to Elixir 1.15, this authoritative bestseller reveals how Elixir tackles problems of scalability, fault tolerance, and high availability. Inside Elixir in Action, Third Edition you'll find: Updates for Elixir 1.15 Elixir modules, functions, and type system Functional and concurrent programming Introduction to distributed system design Creating deployable releases About the technology Elixir is the perfect choice for mission-critical software. Its fault-tolerance and concurrency capabilities let it seamlessly handle huge numbers of users and data, and its functional programming mindset means Elixir applications are predictable, readable, and easy to maintain. Start coding in Elixir, and you'll get instant access to the battle-tested Erlang virtual machine that powers this awesome language, along with Elixir's own thriving ecosystem of resources. It's the reliable solution you need for everything from a large-scale distributed system to a simple web app.

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Book SynopsisThis is the first book in a three-part series that traces the development of the GPU. Initially developed for games the GPU can now be found in cars, supercomputers, watches, game consoles and more. GPU concepts go back to the 1970s when computer graphics was developed for computer-aided design of automobiles and airplanes. Early computer graphics systems were adopted by the film industry and simulators for airplanes and high energy physics—exploding nuclear bombs in computers instead of the atmosphere. A GPU has an integrated transform and lighting engine, but these were not available until the end of the 1990s. Heroic and historic companies expanded the development and capabilities of the graphics controller in pursuit of the ultimate device, a fully integrated self-contained GPU. Fifteen companies worked on building the first fully integrated GPU, some succeeded in the console, and Northbridge segments, and Nvidia was the first to offer a fully integrated GPU for the PC. Today the GPU can be found in every platform that involves a computer and a user interface.Table of Contents1 Introduction.- 2 1980-1989, Graphics Controllers on Other Platforms.- 3 1980-1989, Graphics Controllers on PCs.- 4 1990-1995, Graphics Controllers on PCs.- 5 1990 to 1999 Graphics Controllers on Other Platform.- 6 1996-1999, Graphics Controllers on PCs.- 7 What is a GPU?.- Appendix A: Definitions.- Appendix B: Acronyms.

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Book SynopsisJessica Barker is the co-founder and co-CEO of Cygenta, a leading consultancy which advices businesses such as Mastercard, Microsoft and Cisco on their cybersecurity and cyber risk. She is also a prominent thought leader on the topics of cybersecurity and cybercrime and was named as the 'Cyber Citizen of the Year 2022' by the National Cyber Awards. She is the author of Confident Cyber Security (also published by Kogan Page). She is based in Las Vegas.

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Book SynopsisAbout the Author Lauren?iu Spilca is a skilled Java and Spring developer and an experienced technology instructor. He is also the author of Manning's Spring Start Here and Troubleshooting Java.

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Book SynopsisAbout the author: Mauricio Aniche is a software engineer with 20 years of experience. He's also an Assistant Professor in Software Engineering at Delft University of Technology, and the author of Effective Software Testing.

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Book SynopsisAn authoritative guide to what is needed for AI governance and regulation from expert authors internationally involved in the practical world of AI. This book tackles the question of why AI is a distinct challenge from other technologies and how we should seek to implement innovation-friendly approaches to regulation. It sets out many of the risks to be considered, why regulation is needed, and the form this should take to promote international convergence on AI governance and the responsible deployment of AI. This is a highly readable prescription for AI governance and regulation designed to encourage the technological goals of humanity whilst ensuring that potential risks are mitigated or prevented and, most importantly, that AI remains our servant and does not become our master.

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Book SynopsisThis third book in the three-part series on the History of the GPU covers the second to sixth eras of the GPU, which can be found in anything that has a display or screen. The GPU is now part of supercomputers, PCs, Smartphones and tablets, wearables, game consoles and handhelds, TVs, and every type of vehicle including boats and planes. In the early 2000s the number of GPU suppliers consolidated to three whereas now, the number has expanded to almost 20. In 2022 the GPU market was worth over $250 billion with over 2.2 billion GPUs being sold just in PCs, and more than 10 billion in smartphones. Understanding the power and history of these devices is not only a fascinating tale, but one that will aid your understanding of some of the developments in consumer electronics, computers, new automobiles, and your fitness watch.Table of ContentsForeword.- Acknowledgements.- Introduction.- The Third to Fifth Era GPUs.- Mobile GPUs.- Game Consule GPUs.- Compute and Other GPUs.- Open GPU Projects.(2000 -2018).- The Sixth Era of GPUs.- Concluding Remarks.- Appendix A: Acronyms.- Appendix B: Definitions.

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Book SynopsisTo really benefit from the reliability and scalability you get with cloud platforms, your applications need to be designed for that environment. Cloud Native Spring in Action is a practical guide for planning, designing, and building your first cloud native apps using the powerful, industry-standard Spring framework Cloud Native Spring in Action teaches you effective Spring and Kubernetes cloud development techniques that you can immediately apply to enterprise-grade applications. As you develop an online bookshop, you'll learn how to build and test a cloud native app with Spring, containerize it with Docker, and deploy it to the public cloud with Kubernetes. Including coverage of security, continuous delivery, and configuration, this hands-on guide is the perfect primer for navigating the increasingly complex cloud landscape. About the TechnologyModern applications need scalability, resilience, reliability, and zero-downtime. For most large systems, that means you'll take advantage of cloud-based tools and services. For Java developers, Spring helps effortlessly build cloud native, production-ready applications. Combined with Kubernetes, the Spring ecosystem offers numerous built-in features to help out developers migrating or building new cloud native projects efficiently.Trade Review"An excellent practical guide to learn and develop Cloud Native apps using Spring. A must-have for Spring professional." Harinath Kuntamukkala "Curious about writing production grade Cloud Native applications using Spring and don't know where to start? Read this book and thank me later!" Yogesh Shetty "The definitive guide to developing cloud native applications using Spring." Nathan B Crocker "Filled to the brim with real world examples and ready to use code." Mladen Knežić "This book is perfect to understand how to build cloud native architecture using Java and Spring. All the chapters are useful and their content can be applied in real-world scenarios." Gilberto Taccari

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Book SynopsisMarcello La Rocca is a research scientist and a full-stack engineer. He has contributed to large-scale web applications and machine learning infrastructure at Twitter, Microsoft, and Apple.The technical editor on this book was Beau Carnes.

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Book SynopsisLife is short and so are TikToks, so what are you waiting for? Release your creativity with these 365 TikTok ideas. Making a TikTok video that goes viral is all about having a quirky idea that can grab attention in as little as 15 seconds. Whether you''re a TikTok beginner or a practiced creator, the hardest part is often getting started. This unofficial book provides a year''s worth of ideas in the form of creative prompts to keep you posting new videos every day. - Give the weather report using the app''s Green Screen effect.- Use forced perspective and a coffee mug and make a splash as you dive in.- Dance with your dog.- Say nice things to a houseplant and see if it grows faster.- Kick-start a new meme by creating a TikTok that people will want to duet with.There are tips and advice from the most popular creators, including the queen of Alt TikTok, Melissa Ong, wholesome TikTok family The McFarlands, and fashion favourite Jeffery Dan

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Book SynopsisTwenty-five of the most important scientific minds gather for an unparalleled round-table examination about AI and what it means for our future.

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Table of ContentsPART I – Understanding Machine LearningChapter 1: Machine Learning BasicsChapter Goal: This chapter familiarizes and acquaints readers with the basics of machine learning, industry standard workflows followed for machine learning processes and expands on the different types of machine learning and deep learning algorithmsNo of pages: 50-60 Sub -Topics1. Brief on machine learning, definitions and concepts2. Industry standard for data mining processes – CRISP – DM and adoption in ML3. Brief on data processing, visualization, feature extraction\engineering concepts4. Types of learning algorithms – supervised, unsupervised, reinforcement learning5. Advanced models – time series, deep learning6. Model building and validation concepts7. Applications of machine learningChapter 2: The Python Machine Learning EcosystemChapter Goal: This chapter introduces readers to the python language and the entire ecosystem built around machine learning with python tools, frameworks and libraries. Overview and code samples are given for each tool to depict its usage and effectivenessNo of pages: 50 - 60Sub - Topics 1. Brief on Python 2. Why is Python effective for machine learning and data science3. Brief overview on the python ecosystem followed by data scientists (includes anaconda distribution) 4. Reproducible research with ipython5. Data processing and computing with pandas, numpy, scipy6. Statistical learning with statsmodels7. ML frameworks – scikit-learn, pyml etc8. NLP frameworks – nltk, pattern, spacy9. DL frameworks – theano, tensorflow, kerasPART II – The Machine Learning PipelineChapter 3: Processing, wrangling and visualizing data&Sub - Topics: 1. Data Retrieval mechanisms (crawling, databases, APIs etc)2. Data processing (handling various forms of data – SQL, JSON, XML, Images)3. Data attributes and features (numeric, categorical etc)4. Data Wrangling (cleaning, handling missing values, normalizing data)5. Data Summarization6. Data Visualization (bar, histogram, boxplot, line, scatter etc)Chapter 4: Feature Engineering and SelectionChapter Goal: This chapter focuses on the next stage in the ML pipeline, feature extraction, engineering and selection. Readers will learn about both basic and advanced feature engineering methods for different data formats including numeric, text and images. We will also focus on methods for effective feature selectionNo of pages: 50 - 60Sub - Topics: 1. Features – understanding yourv>2. Basic Feature engineering3. Extracting features from numeric, categorical variables4. Extracting features from date\timestamp variables5. Extracting Basic features from textual data (bag of words)6. Advanced Feature engineering7. Extracting complex features from textual data (word vectorization, tfidf, topic models)8. Extracting features from images (pixels, edge detection, shapes)9. Time series features10. Feature scaling and standardization11 Feature selection techniques12 Using forward\backward selection techniques13 Using machine learning models like random forests14 Other methodsChapter 5: Building, tuning and deploying modelsChapter Goal: This chapter focuses on the final stage in the ML pipeline where readers will learn how to fit and build models on data features, how to optimize and tune models and f learn ways of deploying models to use them in real-world scenarios for predictions\insightsNo of pages : 50-60Sub – Topics: 1. Fitting and building models 2. Model evaluation techniques3. Model optimization methods like gradient descent4. Model tuning methodologies like cross validation, grid search5. How to save and load models6. Deploying models in actionPART III – Real-world case studies in applied machine learningChapter 6: Analyzing bike sharing trendsChapter Goal: This chapter will focus on a real-world case study of analyzing and predicting bike sharing trends with a focus on regression modelsNo of pages : 30-40Sub – Topics: 1. Trend analysis2. Regression models3. Predictive analyticsChapter 7: Analyzing movie reviews sentimentChapter Goal: This chapter will focus on a real-world case study of analyzing sentiment for popular movie reviews using concepts and techniques from natural language processing, text analytics and classificationNo of pages : 30-40Sub – Topics: 1. Text Classification2. Natural language processing3. Sentiment analysis4. Comparing models and different featuresChapter 8: Customer segmentation and effective cross sellingChapter Goal: This chapter will focus on a real-world case study of leveraging unsupervised learning and pattern recognition for solving problems in the retail industry like customer segmentation, cross selling and so onNo of pages : 30-40Sub – Topics: 1. Clustering techniques2. Customer segmentation3. Pattern recognition and association rule mining4. Analyze potential product assoelling trendsChapter 9: Social network analysis – A Facebook case-studyChapter Goal: This chapter will focus on analyzing data from a popular social network – Facebook and acquaint readers to concepts from social network analysis and graph theoryNo of pages : 30-40Sub – Topics: 1. Social network analysis2. Data retrieval and analysis from Facebook3. Concepts from graph theory applied in real-world data4. Useful visualizations from facebook dataChapter 10: Analyzing music trends and recommentationsChapter Goal: This chapter will focus on a real-world case study of analyzing music trends and also providing music recommendations to users using concepts from recommender systems like collaborative filteringNo of pages : 40 - 50Sub – Topics: 1. Recommender systems2. Techniques – collaborative fv>iv>3. Analyzing tresights from music dataiv>4. Music\song recommendations in actionChapter 11: Forecasting stock and commodity pricesChapter Goal: This chapter will focus on a real-world case study of trying to forecast stock and commodity price trends based on market data and using advanced models like time series models and deep learning models like RNNsNo of pages : 40 - 50Sub – Topics: 1. Trend analysis2. Time series forecasting – ARIMA\EWMA models3. Deep learning based forecasting – RNN\LSTM models4. Regression\MC models if neededChapter 12: Image similarity, classification and generationChapter Goal: This chapter will focus on trying to analyze a real-world image dataset and look at methods for image similarity, build image classifiers and generate images using innovative techniqueen advanced deep learning modelsNo of pages : 50Sudiv>b – Topics: ;iv>1. Image processing, similarity analysis2. Basic models – simple classification, dynamic time warping3. Image classification with deep learning models – CNNs, MLPs4. Image generation using generative adversial networks in deep learning (GANs) – if time\scope permits

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Book SynopsisGet a head start on making your games efficiently by avoiding common design and development pitfalls. Video games combine art and programming; this unique position has opened up opportunities for many pitfalls. This book takes you through the fundamentals of game making and the usual mistakes and bad practices that can harm your games. We start with the common difficulties and challenges, ways to find the gaps, and game design. Next, we discuss game engines and other tools you need to choose while making a game, how you should choose them, and the design documents you need to make. We also cover simple but important tweaks in game mechanics as well as the look and feel of your game. We will also discuss conventions for naming, code structuring, project structuring, and coding. Your thought process will be guided in a way that you can look for the proper approach to make a successful game. The book sheds light upon how to improve the overall game experience and finTable of ContentsChapter 1: Don't Chapter Goal: In this chapter, you will get introduced to the core difficulties and challenges of the game making journey. Chapter 2: The Fault in Our StarsChapter Goal: This chapter will discuss the first encounters with games as well as the process of finding the gaps and lacking. We will also discuss game analysis in this chapter. Chapter 3: Don't Reinvent the Wheel Chapter Goal: We will discuss the game engine and the purpose they serve as powerful and necessary tools in game development.Chapter 4: Choose Your ArsenalChapter Goal: We will learn about game engines in greater detail including their pros n cons by building a RPG.Chapter 5: It's All in My Head/ Don't Keep It All in Your Head Chapter Goal: Learn to make Game Design Document, writing practices, and hurdles that may be stopping you from writing it. Chapter 6: A Stitch in Time Saves Nine Chapter Goal: This chapter teaches conventions of file naming, structuring, project structuring, coding (with some examples)Chapter 7: Git GoodChapter Goal: We will learn about version controlChapter 8: Get Smart!Chapter Goal: This chapter shows the ill effects of hard code. This would enable you to differentiate between good and bad approaches towards code and learn how to eliminate them.Chapter 9: Game Design - The Three musketeers! Chapter Goal: You will learn the overall journey of game design, understanding all the components, their role, and how to roll them properly. Chapter 10: Game Feel and Effects Chapter Goal: We will learn about camera effect, audio effect, particle effect in this chapter.Chapter 11: Input MattersChapter Goal: Learn about choosing input styles properly.Chapter 12: Help!Chapter Goal: This chapter will helping you transcend through reality (pseudo code), dynamic difficulty.Chapter 13: Platform Choosing (Pros n Cons)Chapter Goal: This chapter will help you choose the right platform to publish your game.Chapter 14: The Great Filter/Fermi Paradox Chapter Goal: In this chapter, you will learn how to test your game and how to approach publishing and assessing the success.Chapter 15: Gameover - The Myth of Sisyphus/Insanity Loop/Core LoopChapter Goal: In the final chapter, we will evaluate all we have learnt by studying this game, its success, and the future

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Book Synopsis'One of the most interesting and original thinkers about the rise of China' - Peter Frankopan A Foreign Affairs Best Book of 2022 A Guardian Best Paperback of July 2022 Its vast infrastructure projects now extend from the ocean floor to outer space, and from Africa's megacities into rural America. China is wiring the world, and, in doing so, rewriting the global order. As things stand, the rest of the world still has a choice. But the battle for tomorrow will require America and its allies to take daring risks in uncertain political terrain. Unchecked, China will reshape global flows of data to reflect its own interests - and the lives of countless individuals enmeshed in its systems. Taking readers on a global tour of these emerging battlefields, Jonathan E. Hillman reveals what China's digital footprint looks like on the ground, and explores the dangers of a world in which all routers lead to Beijing.Trade ReviewHillman is surely right that Chinese tech makes the world a more dangerous place than we once hoped ... The prospect that [he] sets up is terrifying -- Emma Duncan * Times *A probing look at China's quest to dominate the technosphere [and] a cogent warning that the West has much work to do if it is to contain Chinese expansion into cyberspace * Kirkus *Engrossing ... Hillman weaves together academic research with on-the-ground journalism to paint a vivid picture of China's Digital Silk Road efforts -- Jonathan A Knee * Business Insider South Africa *The Digital Silk Road traces China's rise as a digital superpower and provides a sobering analysis of its challenge to American technological leadership, economic competitiveness, and national security. Jonathan Hillman shows how private entrepreneurship and government support have enabled a technologically backward country to acquire leading-edge communications capabilities long thought to be the exclusive preserve of rich democracies. This important and well-crafted book should be required reading -- Minxin Pei, author * China's Crony Capitalism *Essential reading for understanding one of the greatest geostrategic challenges of our age: China's technological rise and global push to dominate the vital systems upon which militaries, markets, and modern societies depend -- Admiral James Stavridis, 16th Supreme Allied Commander at NATO and author * 2034: A Novel of the Next World War *An urgent, engaging look at China's push to build digital influence and leverage, project by project, as it makes a play for global dominance -- Jon Huntsman Jr, former US ambassador to ChinaXi's path to absolute power ... has created a personality cult that demands even more repression and controls than George Orwell could have imagined ... The challenge to open societies is real, if daunting, and this book offers a deep analysis of that threat and some possibilities of how it can be tackled -- Nevil Gibson * NBR *Assiduously researched and compellingly written ... Behind the Great Firewall, Hillman provides a thorough account of an increasingly controlled internet -- Tin Hinane El Kadi * Chatham House *Praise for The Emperor's New Silk Road: An outstanding book by one of the most interesting and original thinkers about the rise of China, the Belt and Road Initiative and what both mean for the rest of the world. Filled with insights into the changing world of the 21st century - essential reading -- Peter Frankopan, author * The Silk Roads: A New History of the World *A timely and fascinating account of how China is shaping the digital universe, redrawing the connections that carry data from ocean floor to outer space, and harnessing the means by which both commerce and warfare will increasingly be conducted, framed in a century-defining contest for control -- Charlene Barshefsky, 12th United States Trade RepresentativeFor all the hype and hand-wringing over how the [Belt and Road] could usher in the Chinese century, Hillman's engaging mix of high-level analysis and fieldwork in more than a dozen countries paints a much more nuanced picture -- Keith Johnson * Foreign Policy *A first-rate blend of analysis and journalistic reporting from the front lines of economic statecraft -- Michael J. Mazarr * War on the Rocks *

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Book Synopsis

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Book SynopsisThis book offers a comprehensive guide to implementing Zero-Trust security principles, cloud-based defenses, and robust application development practices. Through practical examples and expert advice, readers will gain the skills needed to design and develop secure Java applications that easily can tackle today''s cyber threats. It builds focus on securing your source code through analysis, vulnerability detection, and automation. It also ensures the safety of your runtime environment for managing traffic and enables multi-factor authentication. While addressing data security concerns with encryption, anonymization, and cloud-based solutions, it also uses tools like OpenTelemetry for real-time threat detection. It manages sensitive information securely with Vault integration and explores passwordless authentication. Reference architectures, secure coding patterns, and automation practices are also provided to aid implementation.

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Book SynopsisLearn how Agile fosters innovation, teamwork, and success in any environment. Gain practical skills to manage projects efficiently and scale effectively. Build trust, autonomy, and safety to achieve peak performance and continuous improvement.

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Book SynopsisTake PowerShell beyond simple scripts and build time-saving automations for your team, your users, and the world. In Practical Automation with PowerShell you will learn how to: Build PowerShell functions to automate common and complex tasks Create smart automations that are adaptable to new challenges Structure your code for sharing and reusability Store and secure your automations Execute automations with Azure Automation, Azure Functions, and Jenkins Share your automations with your team and non-technical colleagues Store and retrieve data, credentials, and variables Use source control solutions to maintain and test code changes Provide front-end UI solutions for PowerShell automations Practical Automation in PowerShell reveals how you can use PowerShell to build automation solutions for a huge number of common admin and DevOps tasks. It takes you beyond scripting basics and shows you how to handle the unforeseen complexities that can keep automations from becoming reusable and resilient. You'll discover tools and platforms that let you share your automations with your team and even roll them out to non-technical users through easy-to-understand Sharepoint frontends. about the technology Most repetitive tasks you face as an administrator or DevOps engineer can be automated using PowerShell. Mastering the basics of this powerful language, along with some best practices for saving and sharing your automations, can radically improve the consistency and efficiency of your work. about the book Practical Automation with PowerShell teaches you how to build, organize, and share useful automations with PowerShell. You'll start with development skills you might not have learned as a sysadmin, including techniques to help you structure and manage your code, and common pitfalls to avoid. You'll quickly progress to essential factors for sharable automations, such as securely storing information, connecting to remote machines, and creating automations that can adapt to different use cases. Finally, you'll take your automations out into the world. You'll learn how to share them with your team or end users, and build front ends that allow non-technical people to run them at the touch of a button.Trade Review'The book we needed to improve our work and sleep peacefully!' Leonardo Anastasia 'Not only tells you what to do, but also what not to.' Sander Zegveld 'A really great accessory to general Powershell tutorials.' Alice ChangTable of Contentstable of contents PART 1: GETTING STARTED WITH AUTOMATION READ IN LIVEBOOK 1WHY AUTOMATE WITH POWERSHELL READ IN LIVEBOOK 2GET STARTED AUTOMATING PART 2: WRITING SCRIPTS READ IN LIVEBOOK 3SCHEDULING AUTOMATION SCRIPTS READ IN LIVEBOOK 4HANDLING SENSITIVE DATA READ IN LIVEBOOK 5POWERSHELL REMOTE EXECUTION READ IN LIVEBOOK 6MAKING ADAPTABLE AUTOMATIONS READ IN LIVEBOOK 7WORKING WITH SQL READ IN LIVEBOOK 8CLOUD-BASED AUTOMATION 9 WORKING OUTSIDE OF POWERSHELL 10 AUTOMATION CODING BEST PRACTICES PART 3: MANAGING AUTOMATION SCRIPTS 11 SHARING SCRIPTS AMONG A TEAM 12 SHARING SCRIPTS WITH END-USERS (FRONT-END) 13 WHERE TO STORE YOUR CODE 14 FUTURE-PROOFING YOUR CODE APPENDIXES APPENDIX A: DEVELOPMENT ENVIRONMENT SET UP APPENDIX B: CLOUD ENVIRONMENT SETUP APPENDIX C: HELPER SCRIPTS

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Book SynopsisChristopher Trudeau has built high performing teams in a variety of industries including gaming, marketing, travel, finance, government, and consulting. He has authored content for Talk Python and Real Python, including articles and video courses on a variety of Django and Python topics. He is co-author of the yearly feature round-up for new Python releases and co-host of the Real Python Podcast.

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Book SynopsisVaibhav Verdhan  is a seasoned data science professional with rich experience across geographies and domains. He has led multiple engagements in machine learning and artificial intelligence. A leading industry expert, Vaibhav is a regular speaker at conferences and meet-ups and mentors students and professionals. Currently he resides in Ireland where he works as a principal data scientist.

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Book SynopsisAzure Infrastructure as Code is a comprehensive guide to seamlessly managing your application infrastructure with Azure's native IaC tools. The book is aimed at supporting collaboration between operations professionals and software developers, to help speed up and improve the quality of software delivery. After you master the basics, you'll dive into niche and advanced topics such as testing, reusing templates between multiple teams, and how you can define policy as code. Discover cutting-edge Deployment Stacks, and how they can help you clean up unused resources, group resources in logical containers to help visualize potential changes, and build starting plateaus for other teams to work on. About the Technology Infrastructure as code does away with time-consuming manual tasks—no more detailed scripts for creating the correct database or virtual machine. Instead, Azure's native IaC tools create infrastructure from a declarative specification in JSON (ARM) or a domain-specific language (Bicep). They empower users to create or recreate complete infrastructures with just a line of code, as well as take advantage of automation tools like Github Actions or Azure Pipelines.Trade Review"Nothing else on the market covers ARM templates like "Azure Infrastructure as Code." Stephen Goodman "I wish I had had this book when we started using Azure but its still been very useful to confirm and sometimes expand my knowledge of Azure DEVOps, I will be requiring my team to read it." Sebastian Rogers "If you're getting started with native Azure IaC tools, this is a great resource to learn fast." Radhakrishna MV "If you are an infrastructure engineer/application architect primarily workingwith Azure, this is for you. If you do stuff that touches Azure, the first few chapters will help you understand how Azure works." Amanda Debler

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Book SynopsisAbout the Author Artur Guja is a risk manager, computer scientist, systems developer, and financial markets professional with over 20 years of experience in the banking sector, delivering safe and practical solutions across IT, risk management, and financial product trading. Dr. Marlena Siwiak is an experienced data scientist and bioinformatician with a comprehensive scientific background who gained experience in developing business data applications. An individual who knows how to use both numbers and words. Dr. Marian Siwiak is a data scientist and strategist with a track record of using data knowledge and managerial experience to successfully deliver multimillion IT, scientific and technical projects covering various areas, from life sciences to robotics.

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Book Synopsis Bo Ingram is a staff software engineer at Discord working in database infrastructure. He has extensive experience working with ScyllaDB as both an operator and an application developer.

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Book SynopsisQiang Hao is an associate professor of Computer Science at Western Washington University. He is a recognized expert in computing education research and has extensive experience in teaching a variety of computer science courses, such as software engineering and database systems. Michail Tsikerdekis is an associate professor of Computer Science at Western Washington University. He holds a Ph.D. in Informatics from Masaryk University, Czechia. Additionally, he is recognized as an IEEE Senior Member, and his expertise covers over a decade of teaching experience in Computer Science and Cybersecurity.

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Book SynopsisRobert Hafner has led engineering efforts at numerous startups, including Malwarebytes, Vicarious AI, and Rad AI. He is currently a Senior Principal Architect at a Fortune 100 Telecom in their Developer Experience organization. In his career, he has built large-scale infrastructure with reliability typically reserved for large organizations, while utilizing small, focused teams. When he's not working with computers, he's creating resin art or trying something new in the kitchen. He lives in Chicago with his amazing wife and two cats.

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Book SynopsisAbout the Author: Tony Cruise has worked in IT and application development for over 40 years, starting with programming and releasing games for multiple 8-bit systems in the 80's. He is the author of over 100 titles, books and magazine articles. Today Tony is actively writing new games, utilities and creating resources for other developers working with 8 and 16-bit systems.

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Book SynopsisAdrienne Braganza a software engineer, keynote speaker, author of the best selling book Coding for Kids: Python, and a LinkedIn Learning instructor who has taught over 65,000 learners.

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Book SynopsisMalcolm McDonald is the creator of hacksplaining.com, a comprehensive and interactive security training solution that helps working web developers brush up on their security knowledge. He is a security engineer with 20 years of experience across investment banking, start-ups, and PayPal. He has personally trained thousands of developers in web security over his career.

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