Shortlisted for the Women’s Prize for Non-Fiction 2024AI is changing what it means to be human. This is the unrivalled investigation into the impact of AI on how we live now.'The intimate investigation of AI that we’ve been waiting for, and it arrives not a moment too soon.' – Shoshana Zuboff, author of The Age of Surveillance CapitalismThrough the voices of ordinary people in places far removed from Silicon Valley, Code Dependent explores the impact of a set of powerful, flawed, and often exploitative technologies on individuals, communities, and our wider society. Madhumita Murgia, AI Editor at the FT, exposes how AI can strip away our collective and individual sense of agency – and shatter our illusion of free will.AI is already changing what it means to be human, in ways large and small. In this compelling work, Murgia reveals what could happen if we fail to reclaim our humanity.'A nuanced, thoughtful and very accessible picture of a world deeply affected by AI' – Martha Lane Fox'Highly readable and deeply important' – The Guardian'Code Dependent is the No Logo of the 2020s' – The Times Read more

NEW YORK TIMES AND SUNDAY TIMES BUSINESS BESTSELLER SHORTLISTED FOR THE FT AND MCKINSEY BUSINESS BOOK OF THE YEAR AWARD 2019'Reads more like a delicious page-turning novel...Put it on your holiday gift list for your favourite hedge-fund honcho' Bloomberg'A compelling read' Economist'Captivating' New York Times book reviewJim Simons is the greatest moneymaker in modern financial history. His record bests those of legendary investors, including Warren Buffett, George Soros and Ray Dalio. Yet Simons and his strategies are shrouded in mystery. The financial industry has long craved a look inside Simons's secretive hedge fund, Renaissance Technologies and veteran Wall Street Journal reporter Gregory Zuckerman delivers the goods.After a legendary career as a mathematician and a stint breaking Soviet codes, Simons set out to conquer financial markets with a radical approach. Simons hired physicists, mathematicians and computer scientists - most of whom knew little about finance - to amass piles of data and build algorithms hunting for the deeply hidden patterns in global markets. Experts scoffed, but Simons and his colleagues became some of the richest in the world, their strategy of creating mathematical models and crunching data embraced by almost every industry today.As Renaissance became a major player in the financial world, its executives began exerting influence on other areas. Simons became a major force in scientific research, education and Democratic politics, funding Hilary Clinton's presidential campaign. While senior executive Robert Mercer is more responsible than anyone else for the Trump presidency - he placed Steve Bannon in the campaign, funded Trump's victorious 2016 effort and backed alt-right publication Breitbart. Mercer also impacted the success of the Brexit campaign as he made significant investments in Cambridge Anatlytica. For all his prescience, Simons failed to anticipate how Mercer's activity would impact his firm and the world.In this fast-paced narrative, Zuckerman examines how Simons launched a quantitative revolution on Wall Street, and reveals the impact that Simons, the quiet billionaire king of the quants, has had on worlds well beyond finance. Read more

Are you finding coding languages intimidating and in need of an accessible starting point in programming? Do you require a detailed, beginner-friendly guide to mastering Python, a language renowned for its simplicity and versatility? Look no further than "The Python Programming for Beginners 2024"! This book is your definitive resource for harnessing the power of Python.In the rapidly advancing technology sector, Python continues to dominate as one of the most versatile and sought-after programming languages. Aspiring programmers often encounter significant challenges when trying to understand Python's core principles. "The Python Programming for Beginners 2024" systematically addresses these challenges, providing a thorough and accessible guide specifically designed for novices.Inside this guide, you'll find:An Introduction to PythonDetailed explanations of Pycharm and IDLEA strong foundation in Python basicsComprehensive coverage of data types in PythonIn-depth exploration of advanced data structures ... And much more!"The Python Programming for Beginners 2024" presents a meticulously crafted learning path that demystifies Python, making it approachable and engaging for beginners. The book starts with fundamental concepts, ensuring you build a solid base before progressing to more advanced topics.You'll begin by understanding Python's syntax and logical structure, gradually advancing to topics like variables, data types, and control structures. As you progress, you'll delve into functions, modules, and object-oriented programming, equipping you with the skills to tackle complex concepts such as file handling and exception handling.Importantly, this book is not just about theoretical knowledge. It emphasizes practical coding skills through numerous coding challenges, mini-projects, and real-world examples, ensuring you gain the confidence and competence to write efficient, clean, and functional Python code.Whether you aim to become a professional developer or simply wish to leverage the power of coding, this book is the ideal launchpad for anyone eager to dive into Python programming. Embrace the power of Python and kickstart your programming career with this comprehensive and engaging guide. Order your copy now! Read more

'One of the best books yet written on data and algorithms. . .deserves a place on the bestseller charts.' (The Times) You are accused of a crime. Who would you rather determined your fate - a human or an algorithm?An algorithm is more consistent and less prone to error of judgement. Yet a human can look you in the eye before passing sentence.Welcome to the age of the algorithm, the story of a not-too-distant future where machines rule supreme, making important decisions - in healthcare, transport, finance, security, what we watch, where we go even who we send to prison. So how much should we rely on them? What kind of future do we want?Hannah Fry takes us on a tour of the good, the bad and the downright ugly of the algorithms that surround us. In Hello World she lifts the lid on their inner workings, demonstrates their power, exposes their limitations, and examines whether they really are an improvement on the humans they are replacing.A BBC RADIO 4: BOOK OF THE WEEKSHORTLISTED FOR THE 2018 BAILLIE GIFFORD PRIZE AND 2018 ROYAL SOCIETY SCIENCE BOOK PRIZE Read more

Transform your calculus skills with modern python codingTake your understanding of calculus to a whole new level with this hands-on, Python-based textbook by educator and neuroscientist Dr. Mike X Cohen. Spanning 605 pages and featuring 162 creative coding exercises, this book goes far beyond rote learning and memorization. Instead, you’ll build a deep, intuitive knowledge of calculus through modern computational methods that are applicable in machine learning, data science, engineering, physics, computational biology, and more.A Fresh Approach to CalculusTheory Meets Coding: Traditional calculus texts focus on formulas; this one merges conceptual rigor with practical Python code. You’ll see how calculus shapes cutting-edge technology and real-world numerical analyses. You’ll also learn how to find numerical approximations to equations that cannot be solved using traditional analytic methods.Comprehensive Coverage: From fundamentals of differentiation through multivariable integration, you’ll explore crucial topics like critical points, integration techniques, improper integrals, statistical applications, numerical algorithms, and more.Get Visual, Get Interactive: Code-based exercises bring equations to life, letting you simulate, plot, and investigate calculus concepts.Why This Book?Perfect for Self-Study: Whether you’re brushing up on basics or learning calculus for the first time, you can progress at your own pace.Ideal for Data Science & Machine Learning: Gain a solid grasp of the math behind algorithms. From gradient-based optimizations to integration in probability theory, see how calculus powers the ML world.Modern Python Workflows: Written with Jupyter/Colab notebooks in mind. Delve into libraries like NumPy, SciPy, Sympy, and Matplotlib to create dynamic visualizations.162 Exercises to Level Up: These are not typical problem sets: Each exercise is a critical-thinking challenge requiring you to code, explore, and truly understand the math. Best part: full solutions are provided in the book's github repository, and YouTube video explanations are provided for each exercise and their solutions.All book figures, concepts, and exercise solutions are available in Python in the book’s github repository. You can check your exercise solutions, adapt the code to continue your own mathematical explorations, and apply the theoretical and numerical approximation techniques to your own data, simulations, and projects.Who Should Read This Book?Students needing a supplementary resource to a standard calculus curriculum.Data Scientists, Engineers, and Tech Professionals craving deeper math fundamentals for machine learning, computational biology, or financial modeling, using libraries like sympy, numpy, scipy, and matplotlib.Math Enthusiasts eager for a new perspective, combining visualization, conceptual understanding, and real-world applications.About the AuthorMike X Cohen is an accomplished neuroscientist professor and educator with over two decades of teaching experience. Renowned for his ability to distill advanced concepts into intuitive explanations, Mike blends mathematics, coding, and scientific thinking to make complex ideas accessible.Learn calculus by doing — not just by reading. With this innovative text, you’ll master everything from fundamental derivative rules to multivariable integration, all while coding each concept in Python. If you want to transform your calculus skills and gain valuable computational experience, this is the book for you. Read more

"Mastering ClickHouse: High-Performance Data Analytics for Modern Applications" serves as an indispensable guide for data professionals seeking to leverage the power of ClickHouse, the acclaimed open-source columnar database management system designed for online analytical processing (OLAP). This comprehensive resource delves into all aspects of ClickHouse, from its foundational architecture to advanced integration techniques, enabling readers to understand and exploit its full potential for processing massive datasets with remarkable speed and efficiency.Structured to cater to both novices and seasoned experts, this book provides step-by-step guidance on setting up ClickHouse environments, configuring the system for optimal performance, and implementing robust security measures. Readers will learn about efficient data ingestion techniques and query optimization strategies to maximize analytics throughput. Real-world use cases illustrate the versatility of ClickHouse across different industries, highlighting its ability to enhance decision-making processes through advanced analytics, real-time data insights, and seamless integration within diverse technology stacks. Whether you aim to refine your current data infrastructure or embark on a new analytics journey, this book offers the essential insights and practical skills needed to innovate and excel with ClickHouse. Read more

* Updated June 2022* Book also provides you FREE Access to Online Instructional Videos. See video codes in the bookThis book is about the 23 common GoF (Gang of Four) Design Patterns implemented in TypeScript.A Design Pattern is a description or template that can be repeatedly applied to a commonly recurring problem in software design.You will find a familiarity with Design Patterns very useful when planning, discussing, developing, managing and documenting your applications from now on and into the future. You will learn these Design Patterns.Creational : Factory - Abstract Factory - Builder - Prototype - SingletonStructural : Decorator - Adapter - Facade - Bridge - Composite - Flyweight - ProxyBehavioral : Command - Chain of Responsibility - Observer Pattern - Interpreter - Iterator - Mediator - Memento - State - Strategy - Template Method - VisitorIf you want a break from your computer and read from a book for a while, then this book is for you.Thanks,Sean Bradley Read more

Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python's numeric and scientific librariesKey FeaturesCompute complex mathematical problems using programming logic with the help of step-by-step recipesLearn how to utilize Python's libraries for computation, mathematical modeling, and statisticsDiscover simple yet effective techniques for solving mathematical equations and apply them in real-world statisticsBook DescriptionPython, one of the world's most popular programming languages, has a number of powerful packages to help you tackle complex mathematical problems in a simple and efficient way. These core capabilities help programmers pave the way for building exciting applications in various domains, such as machine learning and data science, using knowledge in the computational mathematics domain.The book teaches you how to solve problems faced in a wide variety of mathematical fields, including calculus, probability, statistics and data science, graph theory, optimization, and geometry. You'll start by developing core skills and learning about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you advance, you'll get to grips with more advanced topics of calculus, probability, and networks (graph theory). After you gain a solid understanding of these topics, you'll discover Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code.By the end of this book, you'll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science.What you will learnGet familiar with basic packages, tools, and libraries in Python for solving mathematical problemsExplore various techniques that will help you to solve computational mathematical problemsUnderstand the core concepts of applied mathematics and how you can apply them in computer scienceDiscover how to choose the most suitable package, tool, or technique to solve a certain problemImplement basic mathematical plotting, change plot styles, and add labels to the plots using MatplotlibGet to grips with probability theory with the Bayesian inference and Markov Chain Monte Carlo (MCMC) methodsWho this book is forThis book is for professional programmers and students looking to solve mathematical problems computationally using Python. Advanced mathematics knowledge is not a requirement, but a basic knowledge of mathematics will help you to get the most out of this book. The book assumes familiarity with Python concepts of data structures.Table of ContentsBasic Packages, Functions, and ConceptsMathematical Plotting with MatplotlibCalculus and Differential EquationsWorking with Randomness and ProbabilityWorking with Trees and NetworksWorking with Data and StatisticsRegression and ForecastingGeometric ProblemsFinding Optimal SolutionsMiscellaneous Topics Read more

How can we capture the unpredictable evolutionary and emergent properties of nature in software?How can understanding the mathematical principles behind our physical world help us to create digital worlds?This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results. Readers will progress from building a basic physics engine to creating intelligent moving objects and complex systems, setting the foundation for further experiments in generative design.Subjects covered include forces, trigonometry, fractals, cellular automata, self-organization, and genetic algorithms.The book's examples are written in Processing, an open-source language and development environment built on top of the Java programming language. Read more

'A manual for the 21st-century citizen... accessible, refreshingly critical, relevant and urgent' - Financial Times'Fascinating and deeply disturbing' - Yuval Noah Harari, Guardian Books of the YearIn this New York Times bestseller, Cathy O'Neil, one of the first champions of algorithmic accountability, sounds an alarm on the mathematical models that pervade modern life -- and threaten to rip apart our social fabric.We live in the age of the algorithm. Increasingly, the decisions that affect our lives - where we go to school, whether we get a loan, how much we pay for insurance - are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: everyone is judged according to the same rules, and bias is eliminated. And yet, as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and incontestable, even when they're wrong. Most troubling, they reinforce discrimination. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These "weapons of math destruction" score teachers and students, sort CVs, grant or deny loans, evaluate workers, target voters, and monitor our health. O'Neil calls on modellers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change. Read more

A spell-binding quest for the one algorithm capable of deriving all knowledge from data, including a cure for cancerSociety is changing, one learning algorithm at a time, from search engines to online dating, personalized medicine to predicting the stock market. But learning algorithms are not just about Big Data - these algorithms take raw data and make it useful by creating more algorithms. This is something new under the sun: a technology that builds itself. In The Master Algorithm, Pedro Domingos reveals how machine learning is remaking business, politics, science and war. And he takes us on an awe-inspiring quest to find 'The Master Algorithm' - a universal learner capable of deriving all knowledge from data. Read more

In this book you will find interesting facts, techniques, source code and handy lookup tables for all the classical Mastermind code-breaking game strategies to date including the "optimal" Koyama Lai solution. The book not only proposes many optimizations on all the well known heuristic strategies but also introduces some brand new ones like "weighted entropy", "hybrid heuristics" and "consistent optimal" which perform better than any other strategy published before (as of 2021). All new algorithms come with fully explained source code written in C++ (17, AVX2, VS 2019, Clang), Visual Basic or Excel VBA.This book is a one stop source for those interested in the algorithms, mathematics and programming behind the solution of the strategy games like Bulls and Cows and Mastermind. There is also a solver program which can "optimally" crack any code for any variation (up to 5 digits and 7 colours) from any level (can continue with optimal solution from the middle of a game) which will make you invincible against any AI or human opponent. Read more

A friendly, fully-illustrated introduction to the most important computer programming algorithms.Master the most widely used algorithms and be fully prepared when you’re asked about them at your next job interview. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, you’ll actually enjoy learning about algorithms with this fun and friendly guide! In Grokking Algorithms, Second Edition you will discover: Search, sort, and graph algorithmsData structures such as arrays, lists, hash tables, trees, and graphsNP-complete and greedy algorithmsPerformance trade-offs between algorithmsExercises and code samples in every chapterOver 400 illustrations with detailed walkthroughs The first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn't have to be complicated or boring! This revised second edition contains brand new coverage of trees, including binary search trees, balanced trees, B-trees and more. You’ll also discover fresh insights on data structure performance that takes account of modern CPUs. Plus, the book’s fully annotated code samples have been updated to Python 3. Foreword by Daniel Zingaro. About the technology The algorithms you use most often have already been discovered, tested, and proven. Grokking Algorithms, Second Edition makes it a breeze to learn, understand, and use them. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, it’s the perfect way to unlock the power of algorithms in your everyday work and prepare for your next coding interview—no math required! About the book Grokking Algorithms, Second Edition teaches you important algorithms to speed up your programs, simplify your code, and solve common programming problems. Start with tasks like sorting and searching, then build your skills to tackle advanced problems like data compression and artificial intelligence. You’ll even learn to compare the performance tradeoffs between algorithms. Plus, this new edition includes fresh coverage of trees, NP-complete problems, and code updates to Python 3. What's inside Search, sort, and graph algorithmsData structures such as arrays, lists, hash tables, trees, and graphsNP-complete and greedy algorithmsExercises and code samples in every chapter About the reader No advanced math or programming skills required. About the author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents 1 Introduction to algorithms 2 Selection sort 3 Recursion 4 Quicksort 5 Hash tables 6 Beadth-first search 7 Trees 8 Balanced trees 9 Dijkstra’s algorithm 10 Greedy algorithms 11 Dynamic programming 12 k-nearest neighbors 13 where to go next Read more

Learn the latest features of modern C++ by coding eight engaging projects.Don’t let the multitude of C++ updates intimidate you! Learn C++ by Example takes you through the major language changes since C++ 11, with each new feature demonstrated with a fun project or minigame. It’s perfect for beginners who know C++ basics, coders coming back to the language, or current C++ developers missing out on everything the language has to offer. Inside Learn C++ by Example you’ll find important skills such as: Utilizing the new C++ features from C++ 11 to 23Effectively testing your C++ codeWhat happens “under the hood” of C++ codePicking efficient algorithms and data structuresstd::format, STL algorithms, ranges, and coroutines Learn C++ by Example rapidly gets up to speed with C++’s updates and changes, and ensures you’ll stay ahead as the language continues to change and grow. You’ll learn about vectors and ranges by generating Pascal’s triangle, create a racing game with new special member functions, build a slot machine with parameter packs, and more. Foreword by Matt Godbolt. About the technology C++ delivers the flexibility and performance you need for everything from low-level systems programming to secure financial applications and AAA game development. First introduced in 1985, the language is still evolving, with exciting changes in every new version. Whether you’re just getting started or you’re a veteran coder adding to your toolbox, the eight hands-on projects in this book will get you up to speed on modern C++ features and practices. About the book Learn C++ by Example is a fun and practical way to start writing modern C++ code. It guides you through entertaining challenges, emphasizing features and techniques made possible by C++ 17, 20, and 23. You’ll learn about objects and arrays by creating a deck of playing cards, master the C++ random library for a number guess game, use the chrono library to create a countdown timer, and much more. Along the way you’ll also pick up valuable tips for testing, project organization, and other productivity skills. What's inside New C++ features from C++ 11 to 23Effectively test your C++ codeWhat happens “under the hood”Efficient algorithms and data structures About the reader Requires beginner to intermediate C++ skills. About the author Frances Buontempo is an experienced C++ developer and the editor of ACCU’s Overload magazine. The technical editor on this book was Timothy Jaap van Deurzen. Table of Contents 1 Hello again, C++! 2 Containers, iterators, and ranges 3 Input of strings and numbers 4 Time points, duration, and literals 5 Creating and using objects and arrays 6 Smart pointers and polymorphism 7 Associative containers and files 8 Unordered maps and coroutines 9 Parameter packs and std::visit Read more

Are You Ready to Transform Your Career with Python and Stand Out in the Competitive Tech Industry?If you want to master Python from scratch, boost your programming skills, and secure high-paying job opportunities, “The Python Bible for Beginners” is the guide you've been waiting for.Tired of getting lost in complex tutorials without clear instructions? Frustrated by learning theoretical concepts that don't translate to solving real-world problems? Worried that the information you're getting isn't up-to-date in the fast-evolving tech world? You're not alone.This comprehensive book eliminates these hurdles by offering a clear, step-by-step approach, ensuring you won't just learn Python—you'll master it. Updated and revised as of June 2024, every tutorial is current, accurate, and ready to make you a sought-after programming professional.Friendly, Jargon-Free Language: Designed for complete beginners, with easy-to-understand explanations.Step-by-Step Guidance: Learn from the basics and progress to advanced topics with confidence.All-In-One Solution: Structured like a true university course, covering basics to advanced techniques, including powerful libraries such as TensorFlow, NumPy, Sklearn, Keras, Matplotlib, and more.Practical Learning: Code snippets, hands-on exercises, and real-world examples to solidify your understanding and skills.Updated Content (June 2024): Fully revised and updated to ensure accuracy and relevance in today's tech landscape.🎁 TODAY WITH POWERFUL EXTRA CONTENT INCLUDED:Exclusive access to the most complete online directory of Python exercises (with solutions).The Python Interview Handbook: The ultimate list of questions and answers to crack your next coding interview and secure a position in a high-paying tech company.A Comprehensive Python Cheat Sheet: The ultimate Python reference to lower the entry barrier for newcomers and help veterans refresh old tricks.In just 7 days, you’ll be able to effortlessly write Python code, solve complex problems, and impress top tech companies with your skills. Imagine the confidence you'll feel when you can tackle real-world computational challenges and stand out in the job market.Don’t wait any longer to achieve your programming dreams.Buy your copy today and start your journey towards becoming the expert that top companies vie to hire! Read more

The global AI bestseller inspiring US and UK readers.Written by the Chief Data & AI Officer in one of the largest banks in Asia, an ex-Mckinsey consultant, who served at Forbes Technology Council.“A unique perspective that combines technology, economics, geopolitics, and history.”—PASCAL BORNET, tech influencer, 2 million followersThis book will help you get ready for the changes coming in the years ahead. Read it now.Packed with expert insights, the book addresses critical questions: How will AI alter employment, education, and global geopolitics? What ethical dilemmas will arise as humans interlace with AI through cyborgs and synthetic biology? Can we prepare for superintelligence and its utopian—or dystopian—outcomes?Written for professionals, students, technologists, and all curious minds, this book demystifies complex AI concepts while offering actionable strategies for navigating rapid AI advancements. Drawing on history, economics, and philosophy, it paints a vivid picture of AI's potential to redefine humanity.Whether you’re seeking to understand AI’s present or prepare for its future, this indispensable guide equips you to stay ahead in an ever-changing world.In this book, one of the foremost global experts on artificial intelligence provides profound insights into pressing questions. He explores controversial topics such as superintelligence, synthetic biology, AI’s role in global competition, particularly between the U.S. and China, its impact on future warfare, and its increasing influence on our personal and family life. Will we see true human-cyborg coexistence, potentially altering our species' evolution? Will artificial intelligence bring about humanity’s extinction, or propel us to unprecedented heights?Get a fresh perspective and explore approaches that will empower and inspire you to innovate and thrive in the face of AI's inevitable reality.Key Themes:Humanity interlaces with AI: AI is our new mind. Robotics, our new body. How are we becoming a new species at the intersection of carbon and silicon?AI gets exponential: Artificial General Intelligence. Humanoids and cyborgs. Synthetic biology. Quantum computing. Mind emulation. How will they unfold?AI authoritarianism: AI will render truth obsolete, freedom redefined, and job scarcity ubiquitous. Can we still shape AI for the benefit of all?Geopolitics supercharged: Super Intelligence will be worshiped. China and America will clash over their views on AI. Politics will be centered on species identities.Humanity’s greatest epic: From Mythology to Kubrick. From Aristotle to Sam Altman. From Leonardo to Boston Dynamics. From today to Superintelligence.Stay ahead with AI: Critical thinking. Adaptability. Entrepreneurship.Praise for this Book:"A factual and comprehensive exploration of artificial intelligence, meticulously researched with detailed references on each topic, providing readers with a deep understanding of AI.""AI Magnum Opus! What an in-depth and thorough volume on AI. Vast in its breadth and intelligent insights.""Thought-provoking and grounded in years of global experience with AI technology. Highly recommended!""Masterfully dissects the complex concepts of AI into easily digestible parts, making them accessible to readers of all levels." Read more

A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.New for the fourth edition New chapters on matchings in bipartite graphs, online algorithms, and machine learningNew material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays140 new exercises and 22 new problemsReader feedback–informed improvements to old problemsClearer, more personal, and gender-neutral writing styleColor added to improve visual presentationNotes, bibliography, and index updated to reflect developments in the fieldWebsite with new supplementary materialWarning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors. Read more

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning. Read more

"This book does the impossible: it makes math fun and easy!" - Sander Rossel, COAS Software Systems Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-?in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside         Covers search, sort, and graph algorithmsOver 400 pictures with detailed walkthroughsPerformance trade-offs between algorithmsPython-based code samples     About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents                             Introduction to algorithmsSelection sortRecursionQuicksortHash tablesBreadth-first searchDijkstra's algorithmGreedy algorithmsDynamic programmingK-nearest neighbors                     Read more

If you feel like you’ve “missed the boat” on Bitcoin. Think again…Because while Bitcoin continues to hit all time highs, this book will show you it’s not too late to invest in “Digital Gold”What was once a fringe currency only used by a dark corner of the web… is now the fastest growing financial asset on Earth.And this is just the beginning…You see, we are still in just the 2nd inning of Bitcoin as a financial entity.So while no financial vehicle is making people rich as quickly as Bitcoin…Less than 10% of Americans and 2% of the worldwide population owns it.But now, the major players are taking an interest.Like Billionaire Hedge Fund owner Paul Tudor JonesInternet pioneer Tim Draper, who was an early investor in companies like Hotmail, Tesla and Robinhood.And CEO of Social Capital, Chamath Palihapitiya, who predicts Bitcoin will be worth $1 million within the next 15 years.So even if you’ve been unconvinced thus far, this book will give you the straight facts on Bitcoin as a financial asset… without any of the hype or noise.Here is just a fraction of what you will discover:The surprisingly small amount of Bitcoin you need to join the top 1% of Bitcoin owners worldwide – Page 15How a complete technophobe can buy Bitcoin is less than 5 minutes – Page 655 Billionaires who believe Bitcoin has a part to play in the world economy – Page 16Is Bitcoin a legitimate currency? Answered on page 32A simple way to automate your Bitcoin purchases so you can take advantage of dollar cost averaging – Page 66The exact percentage of Bitcoin transactions that are used for illegal activities. Anti-Bitcoiners get this wrong all the time – Page 51Why you should never use Robinhood to buy Bitcoin – Page 70The downside of purchasing Bitcoin funds like GBTC – Page 71How much of your portfolio should you dedicate to Bitcoin? Our “one size fits all” solution is on page 102Plus free video tutorials for safely buying and storing Bitcoin on Page 7This is not a 600 page theoretical book which you need a math degree to understand. Written in plain English and free from repetitive technical jargon. Every single piece of financial and technical terminology is clearly defined inside.You’ll find easy-to-follow advice in how to buy and store Bitcoin yourself… without having to pay expensive fees to middlemen.For everyone who feels frustrated after watching Bitcoin soar in price… this is your chance to get in while the going is good.And not feel like you missed the boat…So even if you’re never read a single finance or investing book in your life, you will immediately understand how to become a successful long-term investor.To kickstart your Bitcoin journey today, scroll up and click “add to cart” Read more