The Simulmatics Corporation, launched during the Cold War, mined data, targeted voters, manipulated consumers, destabilized politics, and disordered knowledge―decades before Facebook, Google, and Cambridge Analytica. Jill Lepore, author of These Truths, came across the company’s papers in MIT’s archives and set out to tell this forgotten history, the long-lost backstory to the methods and mindset of Silicon Valley.

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Intended as "A beginner's guide to getting up and running with deep learning from scratch using Python", this book is for those who already have the basic mathematical and programming knowledge required to get started. Dr. Pablo Rivas begins with a basic overview of machine learning, setting up popular Python frameworks, and preparing data by cleaning and preprocessing it for deep learning, before going on to explore neural networks. Later sections cover hands-on training single and multiple layers of neurons, as well as popular neural network architectures such as CNNs, RNNs, AEs, VAEs, and GANs with the help of simple examples.

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With the subtitle "Using Data to Make Good Things Happen",  this is an exploration of the application of analytics to real-world problems and situations. Covering fields as diverse as sports, finance, politics, healthcare, and business, Wayne L. Winston bridges the gap between the world of data analytics and the concrete problems it solves. The questions considered range from "What's wrong with the NFL QB rating?" to "What caused the Crash of 2008?" 

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Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. Tor Lattimore and Csaba Szepesvári focus on both mathematical intuition and carefully worked proofs. 

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In the past decade deep reinforcement learning (RL) has achieved remarkable results on a range of problems, from single and multiplayer games–such as Go, Atari games, and DotA 2–to robotics. This book, subtitled "Theory and Practice in Python", is an introduction to deep RL that combines both theory and implementation. Laura Graesser and Wah Loon Keng start with intuition, then explain the theory of deep RL algorithms, discusse implementations in its companion software library SLM Lab, and finish with the practical details of getting deep RL to work.

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This book aims to help people make the most of JavaScript -- even if they've never programmed anything before. Kirupa Chinnathambi covers JavaScript and how to use it together with CSS3 and HTML5 to create powerful web and mobile experiences.

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This book of cartoons and rhymes, subtitled "An Innocent's Guide to the Tech Inside" aims to explain cloud computing for non-techies in an amusing way. Forrest Brazeal, creator of the popular "FaaS and Furious" webcomic, takes his readers on a tour through the past, present and future of cloud computing, from mainframes to serverless and from the Internet of Things to artificial intelligence. In Brazeal's world, cloud computing space is a jungle filled with prehistoric beasts, while a data breach looks like a neo-noir nightmare full of turned-up coat collars and rain-soaked alleys.

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Written by Michael Metcalf, John Reid and Malcolm Cohen, all leading experts in the field, two of whom have actively contributed to Fortran 2018, this is a complete and authoritative description of Fortran in its latest form. It is intended for new and existing users of the language, and for all those involved in scientific and numerical computing. Four new chapters describe the additional features of Fortran 2018, with its enhancements to coarrays for parallel programming, interoperability with C, IEEE arithmetic, and various other improvements.

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This updated second edition addresses the latest features of C++20, such as modules, concepts, coroutines, and the many additions to the standard library, including ranges and text formatting. Marius Bancila organizes the book in practical recipes covering a wide range of problems faced by modern developers. The book also delves into the details of all the core concepts in modern C++ programming, such as functions and classes, iterators and algorithms, streams and the file system, threading and concurrency, smart pointers and move semantics, and many others.

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This textbook by well-known game designer Robert Zubek introduces the basics of game design, covering tools and techniques used by practitioners in commercial game production. It presents a model for analyzing game design in terms of three interconnected levels—mechanics and systems, gameplay, and player experience. The book explains how novice game designers can use these three levels as a framework to guide their design process. It emphasizes models and vocabulary used in industry practice and focuses on the design of games as dynamic systems of gameplay.

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With the subtitle "Program Next-Gen Computers for Hard, Real-World Applications", This book explains how quantum computing works, and shows how to write programs that run on the IBM Q quantum computer. Author Nihal Mehta shows how to introduce quantum effects in your programs, and how to apply quantum algorithms to solve real world problems. The book also looks at how to identify problems suitable for quantum computers, and how to interface with a quantum computer from within applications.

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This book aims to teach Python through the creation of 22 bitesize programs. In each tiny project author Ken Youens-Clark teaches a new programming concept, from the basics of lists and strings right through to regular expressions and randomness.The activities in this book teach Python fundamentals through puzzles and games. Youens-Clark aims to entertain while teaching elements such as text manipulation, basic algorithms, and lists and dictionaries.

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