Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

    This edition provides increased coverage of taste and smell, circadian rhythms, brain development, and developmental disorders and includes new information on molecular mechanisms and functional brain imaging. Path of Discovery boxes, written by leading researchers, highlight major current discoveries. In addition, readers will be able to assess their knowledge of neuroanatomy with the Illustrated Guide to Human Neuroanatomy, which includes a perforated self-testing workbook.This edition's robust ancillary package includes a bound-in student CD-ROM, an Instructor's Resource CD-ROM, and resources online.

    Luckily, Misa's big brother is the captain of the university karate club and is ready to strike a deal: Reiji can join the club if he tutors Misa in linear algebra.Follow along in The Manga Guide to Linear Algebra as Reiji takes Misa from the absolute basics of this tricky subject through mind-bending operations like performing linear transformations, calculating determinants, and finding eigenvectors and eigenvalues. With memorable examples like miniature golf games and karate tournaments, Reiji transforms abstract concepts into something concrete, understandable, and even fun.As you follow Misa through her linear algebra crash course, you'll learn about:Basic vector and matrix operations such as addition, subtraction, and multiplicationLinear dependence, independence, and basesUsing Gaussian elimination to calculate inverse matricesSubspaces, dimension, and linear spanPractical applications of linear algebra in fields like computer graphics, cryptography, and engineeringBut Misa's brother may get more than he bargained for as sparks start to fly between student and tutor. Will Reiji end up with the girl—or just a pummeling from her oversized brother? Real math, real romance, and real action come together like never before in The Manga Guide to Linear Algebra.

    It's a game that's deceptively simple, yet within its easy framework you'll find truth and trickery, boredom and fear, skill and misfortune—in other words, all the things that make life fun and worth living! Texas Hold'em For Dummies introduces you to the fundamental concepts and strategies of this wildly popular game. It covers the rules for playing and betting, odds, etiquette, Hold'em lingo, and offers sound advice to avoid mistakes. This handy reference guide gives new and even seasoned players winning strategies and tactics not just for playing the game, but for winning. You'll learn: —Rules and strategies for limit, no-limit, tournament, and online play—How to play the other players—The importance of your bankroll—recommended sizes and more—Hands you should and should not play—How to camouflage your play and dodge traps—When, who, and how to bluff—How to maximize your win with check-raising and trapping—The different approaches for playing in private games, casinos, card rooms, tournaments, and on the Internet—How to use mathematics to your advantageTexas Hold 'Em is a game of both skill and chance. But it's a game that can be beaten, and whether you want to make money, sharpen your game, or just have a good time, Texas Hold 'Em for Dummies will give you the winning edge.

    Bellow. Strauss. Friedman. The University of Chicago has been the home of some of the most important thinkers of the modern age. But perhaps no name has been spoken with more respect than Turabian. The dissertation secretary at Chicago for decades, Kate Turabian literally wrote the book on the successful completion and submission of the student paper. Her Manual for Writers of Research Papers, Theses, and Dissertations, created from her years of experience with research projects across all fields, has sold more than seven million copies since it was first published in 1937.Now, with this seventh edition, Turabian’s Manual has undergone its most extensive revision, ensuring that it will remain the most valuable handbook for writers at every level—from first-year undergraduates, to dissertation writers apprehensively submitting final manuscripts, to senior scholars who may be old hands at research and writing but less familiar with new media citation styles. Gregory G. Colomb, Joseph M. Williams, and the late Wayne C. Booth—the gifted team behind The Craft of Research—and the University of Chicago Press Editorial Staff combined their wide-ranging expertise to remake this classic resource. They preserve Turabian’s clear and practical advice while fully embracing the new modes of research, writing, and source citation brought about by the age of the Internet.Booth, Colomb, and Williams significantly expand the scope of previous editions by creating a guide, generous in length and tone, to the art of research and writing. Growing out of the authors’ best-selling Craft of Research, this new section provides students with an overview of every step of the research and writing process, from formulating the right questions to reading critically to building arguments and revising drafts. This leads naturally to the second part of the Manual for Writers, which offers an authoritative overview of citation practices in scholarly writing, as well as detailed information on the two main citation styles (“notes-bibliography” and “author-date”). This section has been fully revised to reflect the recommendations of the fifteenth edition of The Chicago Manual of Style and to present an expanded array of source types and updated examples, including guidance on citing electronic sources.The final section of the book treats issues of style—the details that go into making a strong paper. Here writers will find advice on a wide range of topics, including punctuation, table formatting, and use of quotations. The appendix draws together everything writers need to know about formatting research papers, theses, and dissertations and preparing them for submission. This material has been thoroughly vetted by dissertation officials at colleges and universities across the country.This seventh edition of Turabian’s Manual for Writers of Research Papers, Theses, and Dissertations is a classic reference revised for a new age. It is tailored to a new generation of writers using tools its original author could not have imagined—while retaining the clarity and authority that generations of scholars have come to associate with the name Turabian.

    Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success.This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You’ll quickly learn the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through code examples written in Python, which you can easily adapt for deployment on your own website.Learn the basics of A/B testing—and recognize when it’s better to use bandit algorithmsDevelop a unit testing framework for debugging bandit algorithmsGet additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials

    You can start packing your bags for that trip you’ve been dreaming a lifetime about.For more than half a decade, Matt Kepnes (aka Nomadic Matt) has been showing readers of his enormously popular travel blog that traveling isn’t expensive and that it’s affordable to all. He proves that as long as you think out of the box and travel like locals, your trip doesn’t have to break your bank, nor do you need to give up luxury.How to Travel the World on $50 a Day reveals Nomadic Matt’s tips, tricks, and secrets to comfortable budget travel based on his experience traveling the world without giving up the sushi meals and comfortable beds he enjoys. Offering a blend of advice ranging from travel hacking to smart banking, you’ll learn how to:* Avoid paying bank fees anywhere in the world* Earn thousands of free frequent flyer points* Find discount travel cards that can save on hostels, tours, and transportation* Get cheap (or free) plane ticketsWhether it’s a two-week, two-month, or two-year trip, Nomadic Matt shows you how to stretch your money further so you can travel cheaper, smarter, and longer.

    With their first book, Extreme Ownership (published in October 2015), Jocko Willink and Leif Babin set a new standard for leadership, challenging readers to become better leaders, better followers, and better people, in both their professional and personal lives. Now, in THE DICHOTOMY OF LEADERSHIP, Jocko and Leif dive even deeper into the unchartered and complex waters of a concept first introduced in Extreme Ownership: finding balance between the opposing forces that pull every leader in different directions. Here, Willink and Babin get granular into the nuances that every successful leader must navigate. Mastering the Dichotomy of Leadership requires understanding when to lead and when to follow; when to aggressively maneuver and when to pause and let things develop; when to detach and let the team run and when to dive into the details and micromanage. In addition, every leader must:· Take Extreme Ownership of everything that impacts their mission, yet utilize Decentralize Command by giving ownership to their team. · Care deeply about their people and their individual success and livelihoods, yet look out for the good of the overall team and above all accomplish the strategic mission. · Exhibit the most important quality in a leader—humility, but also be willing to speak up and push back against questionable decisions that could hurt the team and the mission.With examples from the authors’ combat and training experiences in the SEAL teams, and then a demonstration of how each lesson applies to the business world, Willink and Babin clearly explain THE DICHOTOMY OF LEADERSHIP—skills that are mission-critical for any leader and any team to achieve their ultimate goal: VICTORY.

    Stewart's Calculus is successful throughout the world because he explains the material in a way that makes sense to a wide variety of readers. His explanations make ideas come alive, and his problems challenge, to reveal the beauty of calculus. Stewart's examples stand out because they are not just models for problem solving or a means of demonstrating techniques--they also encourage readers to develp an analytic view of the subject. This edition includes new problems, examples, and projects.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.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 when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    From mood to memory, persuasion to procrastination, and resilience to relationships, Wiseman outlines the research supporting this new science of rapid change, and describes how these quick and quirky techniques can be incorporated into everyday life. Think a little, change a lot."Discover why even thinking about going to the gym can help you keep in shape ""Learn how pot plants make you more creative ""Find out why putting a pencil between your teeth instantly makes you happier "" "'At last, a self-help guide that is based on proper research. Perfect for busy, curious, smart people' Simon Singh, author of Fermat's Last Theorem'A triumph of scientifically proven advice over misleading myths of self-help. Challenging, uplifting and long overdue' Derren Brown

    Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. This book can be used for readers who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.

    Provides diagrams and detailed instructions for performing more than three hundred magic tricks, including tricks with cards, money, ropes, handkerchiefs, and cups and balls.

    HTML 4 For Dummies, now in its 5th edition, will show you the basics of working with this language as well as advanced skills for all-around knowledge. HTML is used to create Web documents. As a standard issued by the World Wide Web Consortium, it is used by almost everyone to create and edit Web pages. HTML is capable of:Creating a Web site Inserting designs to a Web page Running on both PCs and Macs The new edition of HTML 4 For Dummies contains nearly 50% more content than its previous editions, and covers a wide range of material, including: Planning a Web site to avoid underperformanceCreating and viewing a Web page Working with text, tables, lists, and links Adding style to your page with images, colors, and fonts Managing layout Controlling positioning and appearance using CSS Integrating scripts with HTML Designing an eBay auction page Helpful advices and tips, as well as warnings about pitfalls Complete with a 6-page tear-out colored reference sheet, HTML 4 For Dummies is the most comprehensive HTML guide yet. Written by a computer expert and author of over 120 books, including the previous editions of the bestselling HTML 4 For Dummies, this straightforward, fun guide will aid you through making and editing beautiful Web pages.