Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and physics departments. The authors' approach is to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest. Approximately 1/3 of the text is new material--this material maintains the style and spirit of previous editions. In order to bridge the gap between concepts and applications, a number of additional examples have been added for further clarity, as well as several new topics.

    No academic analysis or bystander’s account can capture it. Now Doug Edwards, Employee Number 59, offers the first inside view of Google, giving readers a chance to fully experience the bizarre mix of camaraderie and competition at this phenomenal company. Edwards, Google’s first director of marketing and brand management, describes it as it happened. We see the first, pioneering steps of Larry Page and Sergey Brin, the company’s young, idiosyncratic partners; the evolution of the company’s famously nonhierarchical structure (where every employee finds a problem to tackle or a feature to create and works independently); the development of brand identity; the races to develop and implement each new feature; and the many ideas that never came to pass. Above all, Edwards—a former journalist who knows how to write—captures the “Google Experience,” the rollercoaster ride of being part of a company creating itself in a whole new universe. I’m Feeling Lucky captures for the first time the unique, self-invented, yet profoundly important culture of the world’s most transformative corporation.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    In Turing’s Cathedral, George Dyson focuses on a small group of men and women, led by John von Neumann at the Institute for Advanced Study in Princeton, New Jersey, who built one of the first computers to realize Alan Turing’s vision of a Universal Machine. Their work would break the distinction between numbers that mean things and numbers that do things—and our universe would never be the same. Using five kilobytes of memory (the amount allocated to displaying the cursor on a computer desktop of today), they achieved unprecedented success in both weather prediction and nuclear weapons design, while tackling, in their spare time, problems ranging from the evolution of viruses to the evolution of stars. Dyson’s account, both historic and prophetic, sheds important new light on how the digital universe exploded in the aftermath of World War II. The proliferation of both codes and machines was paralleled by two historic developments: the decoding of self-replicating sequences in biology and the invention of the hydrogen bomb. It’s no coincidence that the most destructive and the most constructive of human inventions appeared at exactly the same time.  How did code take over the world? In retracing how Alan Turing’s one-dimensional model became John von Neumann’s two-dimensional implementation, Turing’s Cathedral offers a series of provocative suggestions as to where the digital universe, now fully three-dimensional, may be heading next.

    Burger teaches at Wiliams College; Starbird at The University of Texas at Austin. Here, they “reveal the hidden powers of deep understanding (earth), failure (fire), questions (air), the flow of ideas (water), and the quintessential element of change that brings all four elements together. By mastering and applying these practical and proven strategies, readers develop better thinking habits and learn how to create their own successes.”Brilliant people aren't a special breed--they just use their minds differently. By using the straightforward and thought-provoking techniques in "The 5 Elements of Effective Thinking," you will regularly find imaginative solutions to difficult challenges, and you will discover new ways of looking at your world and yourself--revealing previously hidden opportunities.The book offers real-life stories, explicit action items, and concrete methods that allow you to attain a deeper understanding of any issue, exploit the power of failure as a step toward success, develop a habit of creating probing questions, see the world of ideas as an ever-flowing stream of thought, and embrace the uplifting reality that we are all capable of change. No matter who you are, the practical mind-sets introduced in the book will empower you to realize any goal in a more creative, intelligent, and effective manner. Filled with engaging examples that unlock truths about thinking in every walk of life, "The 5 Elements of Effective Thinking" is written for all who want to reach their fullest potential--including students, parents, teachers, businesspeople, professionals, athletes, artists, leaders, and lifelong learners.Whenever you are stuck, need a new idea, or want to learn and grow, "The 5 Elements of Effective Thinking" will inspire and guide you on your way.

    As a guy who barely made a living as a river guide, I considered the whole process pretty impenetrable, and I was convinced that to do it right you had to make it a full-time job. Me, I was more interested in having full-time fun.So I was tempted to do what you’re probably doing right now: letting some mutual fund manager worry about growing your nest egg. Let me tell you why that decision could one day make you absolutely miserable. The fact is, because of natural market cycles, the mutual fund industry is likely to soon be facing twenty years of flat returns. That means that if you’ve got your nest egg tucked away in funds—especially the type found in most 401ks—your egg won’t get much bigger than it is now. Translation: Get ready for a retirement filled with lots of cold cuts, plenty of quality TV-watching time, and a place to live that’s too small to accommodate your visiting kids.In this book I’ll show you how I turned $1,000 into $1 million in only five years, and then proceeded to make many millions more. I came to investing as a person who wasn’t great at math, possessed zero extra cash, and wanted a life—not an extra three hours of work to do every day.Fortunately, I was introduced to The Rule.Rule #1, as famed investor Warren Buffett will tell you, is don’t lose money. Through an intriguing process that I’ll clarify in this book, not losing money results in making more money than you ever imagined. What it comes down to is buying shares of companies only when the numbers—and the intangibles—are on your side. If that sounds too good to be true, it’s because the mind-set I’ll be introducing you to leads not to bets but to certainties. Believe me, if there were anything genius-level about this, I’d still be a river guide collecting unemployment much of the year.Part of the secret is thinking of yourself as a business owner rather than a stock investor. Part is taking advantage of today’s new Internet tools, which drastically reduce the “homework factor.” (We’re talking a few minutes, tops.) Part is knowing the only five numbers that really count in valuing a potential investment. And part—maybe the most important part—is using the risk-free Rule #1 approach to consistently pay a mere 50 cents to buy a dollar’s worth of a business.What I won’t waste your time with is fluff: a lot of vague parables reminding you of what you already know and leaving you exactly where you started. This is the real deal, folks: a start-to-finish, one-baby-step-at-a-time approach that will allow you to retire ten years sooner than you planned, with more creature comforts than you ever imagined.Also available as a Random House AudioBook and eBook.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    This investment guide helped everyone, from rookie investors to Wall Street veterans, understand how the market works and how to determine which stocks to buy, and which to avoid.

    Publilius Syrus, Moral Sayings We've been very fortunate to receive fantastic feedback from our readers during the last four years, since the first edition of How to Solve It: Modern Heuristics was published in 1999. It's heartening to know that so many people appreciated the book and, even more importantly, were using the book to help them solve their problems. One professor, who published a review of the book, said that his students had given the best course reviews he'd seen in 15 years when using our text. There can be hardly any better praise, except to add that one of the book reviews published in a SIAM journal received the best review award as well. We greatly appreciate your kind words and personal comments that you sent, including the few cases where you found some typographical or other errors. Thank you all for this wonderful support.

    Fabozzi's "Bond Markets" is the most applied book on the market. It prepares students to analyze the bond market and manage bond portfolios without getting bogged down in the theory. The author's extensive experience in the field is reflected in this uniquely applied approach. This seventh edition has been painstakingly updated. The author conducted numerous conversations and discussions with analysts and portfolio managers to make sure that this text reflects the field today. Pricing of Bonds; Measuring Yield; Bond Price Volatility; Factors Affecting Bond Yields and the Term Structure of Interest Rates; Treasury and Agency Securities; Corporate Debt Instruments; Municipal Securities; Non-U.S. Bonds; Residential Mortgage Loans; Agency Mortgage Pass-through Securities; Agency Collateralized Mortgage Obligations and Stripped Mortgage-Backed Securities; Prime and Subprime Mortgage-Backed Securities; Commercial Loans and Commercial Mortgage-Backed Securities; Asset-Backed Securities; Cash Collateralized Debt Obligations; Interest Rate Models; Analysis of Bonds with Embedded Options; Analysis of Mortgage-Backed Securities; Analysis of Convertible Bonds; Corporate Bond Credit Analysis; Credit Risk Modeling; Active Bond Portfolio Management Strategies; Indexing; Liability Driven Strategies; Bond Performance Measurement and Evaluation; Interest Rate Futures; Interest Rate Options; Interest-Rate Swaps, Caps, and Floors; Credit Derivatives and Synthetic CDOs The latest edition of Fabozzi's "Bond Markets "helps make sense of bond markets and mortgage financing. The 2008 financial crisis is explained as part of the newly added chapter on prime and subprime loans.