Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    More then seven thousand robotic systems are now in Iraq. Pilots in Nevada are remotely killing terrorists in Afghanistan. Scientists are debating just how smart - and how lethal - to make their current robotic prototypes. And many of the most renowned science fiction authors are secretly consulting for the Pentagon on the next generation.Blending historic evidence with interviews from the field, Singer vividly shows that as these technologies multiply, they will have profound effects on the front lines as well as on the politics back home. Moving humans off the battlefield makes wars easier to start, but more complex to fight. Replacing men with machines may save some lives, but will lower the morale and psychological barriers to killing. The "warrior ethos", which has long defined soldiers' identity, will erode, as will the laws of war that have governed military conflict for generations.While his analysis is unnerving, there's an irresistible gee-whiz quality to the innovations Singer uncovers. Wired for War travels from Iraq to see these robots in combat to the latter-day "skunk works" in America's suburbia, where tomorrow's technologies of war are quietly being designed. In Singer's hands, the future of war is as fascinating as it is frightening.

    Drawing heavily on the author's own real-world experiences, the book stresses design and analysis. Coverage is divided into two parts, the first being a general guide to techniques for the design and analysis of computer algorithms. The second is a reference section, which includes a catalog of the 75 most important algorithmic problems. By browsing this catalog, readers can quickly identify what the problem they have encountered is called, what is known about it, and how they should proceed if they need to solve it. This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference. This work can also readily be used in an upper-division course or as a student reference guide. THE ALGORITHM DESIGN MANUAL comes with a CD-ROM that contains: * a complete hypertext version of the full printed book. * the source code and URLs for all cited implementations. * over 30 hours of audio lectures on the design and analysis of algorithms are provided, all keyed to on-line lecture notes.

    He describes a broad range of agile product management practices, including making agile product discovery work, taking advantage of emergent requirements, creating the minimal marketable product, leveraging early customer feedback, and working closely with the development team. Benefitting from Pichler's extensive experience, you'll learn how Scrum product ownership differs from traditional product management and how to avoid and overcome the common challenges that Scrum product owners face. Coverage includesUnderstanding the product owner's role: what product owners do, how they do it, and the surprising implicationsEnvisioning the product: creating a compelling product vision to galvanize and guide the team and stakeholdersGrooming the product backlog: managing the product backlog effectively even for the most complex productsPlanning the release: bringing clarity to scheduling, budgeting, and functionality decisionsCollaborating in sprint meetings: understanding the product owner's role in sprint meetings, including the dos and don'tsTransitioning into product ownership: succeeding as a product owner and establishing the role in the enterprise This book is an indispensable resource for anyone who works as a product owner, or expects to do so, as well as executives and coaches interested in establishing agile product management.

    This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering. The final chapters cover two applications: recommendation systems and Web advertising, each vital in e-commerce. Written by two authorities in database and Web technologies, this book is essential reading for students and practitioners alike.

    Cooper details many of these meta functions to explain his central thesis: programmers need to seriously re-evaluate the many user-hostile concepts deeply embedded within the software development process. Rather than provide users with a straightforward set of options, programmers often pile on the bells and whistles and ignore or de-prioritise lingering bugs. For the average user, increased functionality is a great burden, adding to the recurrent chorus that plays: "computers are hard, mysterious, unwieldy things." (An average user, Cooper asserts, who doesn't think that way or who has memorised all the esoteric commands and now lords it over others, has simply been desensitised by too many years of badly designed software.) Cooper's writing style is often overblown, with a pantheon of cutesy terminology (i.e. "dancing bearware") and insider back-patting. (When presenting software to Bill Gates, he reports that Gates replied: "How did you do that?" to which he writes: "I love stumping Bill!") More seriously, he is also unable to see beyond software development's importance--a sin he accuses programmers of throughout the book. Even with that in mind, the central questions Cooper asks are too important to ignore: Are we making users happier? Are we improving the process by which they get work done? Are we making their work hours more effective? Cooper looks to programmers, business managers and what he calls "interaction designers" to question current assumptions and mindsets. Plainly, he asserts that the goal of computer usage should be "not to make anyone feel stupid." Our distance from that goal reinforces the need to rethink entrenched priorities in software planning. -- Jennifer Buckendorff, Amazon.com

    The blades start moving in 60 seconds. What do you do? If you want to work at Google, or any of America's best companies, you need to have an answer to this and other puzzling questions. Are You Smart Enough to Work at Google? guides readers through the surprising solutions to dozens of the most challenging interview questions. The book covers the importance of creative thinking, ways to get a leg up on the competition, what your Facebook page says about you, and much more. Are You Smart Enough to Work at Google? is a must-read for anyone who wants to succeed in today's job market.

    A superbly practical book that explains what established businesses, public survey institutions, and new yentures have to know, have to learn, and have to do in today' s economy and marketplace.

    Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.

    A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more. These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day.

    New regulations are making the old go-to advice less relevant, as startup money is increasingly moving online. These new waters are all but uncharted—and founders need an accessible guide. This book helps you navigate the online world of startup fundraising with easy-to-follow explanations and expert perspective on the new digital world of finance. You'll find tips and tricks on raising money and investing in startups from early stage to growth stage, and develop a clear strategy based on the new realities surrounding today's startup landscape.The finance world is in a massive state of flux. Changes are occurring at an increasing pace in all sectors, but few more intensely than the startup sphere. When the paradigm changes, your processes must change with it. This book shows you how startup funding works, with expert coaching toward the new rules on the field.-Learn how the JOBS Act impacts the fundraising model-Gain insight on startups from early stage to growth stage-Find the money you need to get your venture going-Craft your pitch and optimize the strategy-Build momentum-Identify the right investors-Avoid the common mistakesDon't rely on the "how we did it" tales from superstar startups, as these stories are unique and applied to exceptional scenarios. The game has changed, and playing by the old rules only gets you left behind. Whether you're founding a startup or looking to invest, The Art of Startup Fundraising provides the up-to-the-minute guidance you need.PRAISE FOR THE ART OF STARTUP FUNDRAISING:“The Art of Startup Fundraising is a must read for anyone who even considers starting a business. Fundraising is hard. This book gives you the roadmap to get where you are going. Alejandro Cremades speaks with wisdom and from experience.“ - Tim Draper , Founder of Draper Associates, DFJ, and Draper University."The Art of Startup Fundraising should be a mandatory reading for entrepreneurs that are looking to raise capital. This book will enable Alejandro to help many more early stage companies answer the tough questions when fundraising." - Marco Landi, Former Chief Operating Officer at Apple and Chairman at Atlantis Ventures"Raising capital is often the most daunting and least understood aspects of starting a new business and there are few people more experienced than Alejandro Cremades to act as a guide. The Art of Startup Fundraising unlocks key secrets of fundraising for newly minted entrepreneurs." - Jeff Stibel, Chairman of BrainGate, Inc. and Vice Chairman of Dun & Bradstreet, Inc.; New York Times bestselling author of Breakpoint and Wired for Thought."This book provides a clear, concise tour of the fundraising game. With his crowdfunding and entrepreneurial expertise in full display, Cremades does a terrific job making a complicated process simple and accessible." - Jeff Bussgang, General Partner at Flybridge Capital Partners and Senior Lecturer at Harvard Business School“Entrepreneurs need to be amazing at recruiting, selling and fundraising. The Art of Startup Fundraising provides the essential toolkit for mastering a core skill for any entrepreneur.” - Gil Penchina, serial entrepreneur and prolific angel investor“For many entrepreneurs finding the right investor for their venture can be a daunting task. Alejandro's experience with equity crowdfunding gives a unique perspective on the fundraising game. The Art of Startup Fundraising is very insightful for entrepreneurs looking to close a round of financing and changing the world.” - Anyndya Ghose, Professor at NYU Stern School of Business“There is no perfect approach to raising investment for a startup, but there is a certain tribal knowledge out there, that most of us had to learn through several failed attempts. The Art of Startup Fundraising captures every bit of advice (and then some!) that I would give to any entrepreneur looking for funding.” - Paul Murphy, Partner at Betaworks and CoFounder of Playdots“Alejandro's The Art of Startup Fundraising is a must read for any entrepreneur. Clear and concise, he outlines in today's startup community the steps to successfully fundraise. This is the golden era for entrepreneurs, any good idea with proof of concept can get access to money. Know your options!” - Angelo J. Robles, Founder and CEO of Family Office Association“It doesn't matter how great of a business you can build. If you can't raise money, you're toast. Master this book.” - Ilya Pozin, Forbes Contributor and CoFounder of Pluto TV and CoFounder of Coplex"The Art of Startup Fundraising translates art into science. By sharing proven formulas, strategies, and case studies that work, Alejandro Cremades provides a needed service to future entrepreneurs." - Josh Cohen, Managing Partner at City Light Capital“This ought to be a reading requirement for all entrepreneurs when building a business and raising capital. This is a very well written and informative book, written by a man who is a testament to dedication and creativity when confronted with the challenges of being an entrepreneur and raising capital.” - Carter Caldwell, serial entrepreneur and Principal at Cross Atlantic Capital Partners“Alejandro is on the bleeding edge of equity crowdfunding today. When he talks about fundraising, startups listen.” - Andrew Ackerman, Managing Director at Dreamit Ventures“Raising capital can be tough. Alejandro provides a step-by-step guidebook to all entrepreneurs that rather spend their time thinking about changing the world instead of thinking of how to raise funds.” - Tobias P. Schirmer, Managing Partner of JOIN Capital "A superb book on fundraising. Alejandro's guidance should arm entrepreneurs with the necessary tools to close with success a meaningful round of financing." - Ellen Weber, Executive Director at Robin Hood Ventures“The Art of Startup Fundraising is a practical and comprehensive resource for entrepreneurs to use again and again. It captures what startups need to do to be successful in the rapidly evolving financing world, while also providing tips on the fundamentals of building businesses that don’t change over time.” - Marianne Hudson, Executive Director at Angel Capital Association“Raising money is hard. But start-up founders all over the world can make it exponentially easier by educating themselves on the process of raising equity capital before they dive into it. The practical, hands-on advice from Alejandro Cremades in this book provides a solid foundation in that self-education process. Delivered in an approachable format with a key lesson to take-away every few pages, “The Art of Startup Fundraising” is essential reading for entrepreneurs everywhere.” - Allen Taylor, Managing Director at Endeavor

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    But few of us realize just how many oversights, biases, and downright ethical nightmares are baked inside the tech products we use every day. It’s time we change that.In Technically Wrong, Sara Wachter-Boettcher demystifies the tech industry, leaving those of us on the other side of the screen better prepared to make informed choices about the services we use—and to demand more from the companies behind them.

    In a brilliant and unconventional book, Phil Rosenzweig unmasks the delusions that are commonly found in the corporate world. These delusions affect the business press and academic research, as well as many bestselling books that promise to reveal the secrets of success or the path to greatness. Such books claim to be based on rigorous thinking, but operate mainly at the level of storytelling. They provide comfort and inspiration, but deceive managers about the true nature of business success.The most pervasive delusion is the Halo Effect. When a company's sales and profits are up, people often conclude that it has a brilliant strategy, a visionary leader, capable employees, and a superb corporate culture. When performance falters, they conclude that the strategy was wrong, the leader became arrogant, the people were complacent, and the culture was stagnant. In fact, little may have changed -- company performance creates a Halo that shapes the way we perceive strategy, leadership, people, culture, and more.Drawing on examples from leading companies including Cisco Systems, IBM, Nokia, and ABB, Rosenzweig shows how the Halo Effect is widespread, undermining the usefulness of business bestsellers from "In Search of Excellence" to "Built to Last" and "Good to Great."Rosenzweig identifies nine popular business delusions. Among them:"The Delusion of Absolute Performance: " Company performance is relative to competition, not absolute, which is why following a formula can never guarantee results. Success comes from doing things better than rivals, which means that managers have to take risks."The Delusion of Rigorous Research: " Many bestselling authors praise themselves for the vast amount of data they have gathered, but forget that if the data aren't valid, it doesn't matter how much was gathered or how sophisticated the research methods appear to be. They trick the reader by substituting sizzle for substance."The Delusion of Single Explanations: " Many studies show that a particular factor, such as corporate culture or social responsibility or customer focus, leads to improved performance. But since many of these factors are highly correlated, the effect of each one is usually less than suggested.In what promises to be a landmark book, "The Halo Effect" replaces mistaken thinking with a sharper understanding of what drives business success and failure. "The Halo Effect" is a guide for the thinking manager, a way to detect errors in business research and to reach a clearer understanding of what drives business success and failure.Skeptical, brilliant, iconoclastic, and mercifully free of business jargon, Rosenzweig's book is nevertheless dead serious, making his arguments about important issues in an unsparing and direct way that will appeal to a broad business audience. For managers who want to separate fact from fiction in the world of business, "The Halo Effect" is essential reading -- witty, often funny, and sharply argued, it's an antidote to so much of the conventional thinking that clutters business bookshelves.

    But many managers can't read a balance sheet, wouldn't recognize a liquidity ratio, and don't know how to calculate return on investment. Worse, they don't have any idea where the numbers come from or how reliable they really are. In Financial Intelligence, Karen Berman and Joe Knight teach the basics of finance--but with a twist. Financial reporting, they argue, is as much art as science. Because nobody can quantify everything, accountants always rely on estimates, assumptions, and judgment calls. Savvy managers need to know how those sources of possible bias can affect the financials and that sometimes the numbers can be challenged. While providing the foundation for a deep understanding of the financial side of business, the book also arms managers with practical strategies for improving their companies' performance--strategies, such as "managing the balance sheet," that are well understood by financial professionals but rarely shared with their nonfinancial colleagues. Accessible, jargon-free, and filled with entertaining stories of real companies, Financial Intelligence gives nonfinancial managers the financial knowledge and confidence for their everyday work. Karen Berman and Joe Knight are the owners of the Los Angeles-based Business Literacy Institute and have trained tens of thousands of managers at many leading organizations. Co-author John Case has written several popular books on management.