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.

    You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the social haystack—as well as useful information you didn’t know existed.Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.Get a straightforward synopsis of the social web landscapeUse adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+Learn how to employ easy-to-use Python tools to slice and dice the data you collectExplore social connections in microformats with the XHTML Friends NetworkApply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detectionBuild interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

    If you are seriously interested in understanding how you and your team can start down the path of improvement with XP, you must read this book."-- Francesco Cirillo, Chief Executive Officer, XPLabs S.R.L. "The first edition of this book told us what XP was--it changed the way many of us think about software development. This second edition takes it farther and gives us a lot more of the 'why' of XP, the motivations and the principles behind the practices. This is great stuff. Armed with the 'what' and the 'why, ' we can now all set out to confidently work on the 'how' how to run our projects better, and how to get agile techniques adopted in our organizations."-- Dave Thomas, The Pragmatic Programmers LLC "This book is dynamite! It was revolutionary when it first appeared a few years ago, and this new edition is equally profound. For those who insist on cookbook checklists, there's an excellent chapter on 'primary practices, ' but I urge you to begin by truly contemplating the meaning of the opening sentence in the first chapter of Kent Beck's book: 'XP is about social change.' You should do whatever it takes to ensure that every IT professional and every IT manager--all the way up to the CIO--has a copy of Extreme Programming Explained on his or her desk."-- Ed Yourdon, author and consultant "XP is a powerful set of concepts for simplifying the process of software design, development, and testing. It is about minimalism and incrementalism, which are especially useful principles when tackling complex problems that require a balance of creativity and discipline."-- Michael A. Cusumano, Professor, MIT Sloan School of Management, and author of The Business of Software " Extreme Programming Explained is the work of a talented and passionate craftsman. Kent Beck has brought together a compelling collection of ideas about programming and management that deserves your full attention. My only beef is that our profession has gotten to a point where such common-sense ideas are labeled 'extreme.'..."-- Lou Mazzucchelli, Fellow, Cutter Business Technology Council "If your organization is ready for a change in the way it develops software, there's the slow incremental approach, fixing things one by one, or the fast track, jumping feet first into Extreme Programming. Do not be frightened by the name, it is not that extreme at all. It is mostly good old recipes and common sense, nicely integrated together, getting rid of all the fat that has accumulated over the years."-- Philippe Kruchten, UBC, Vancouver, British Columbia "Sometimes revolutionaries get left behind as the movement they started takes on a life of its own. In this book, Kent Beck shows that he remains ahead of the curve, leading XP to its next level. Incorporating five years of feedback, this book takes a fresh look at what it takes to develop better software in less time and for less money. There are no silver bullets here, just a set of practical principles that, when used wisely, can lead to dramatic improvements in software development productivity."-- Mary Poppendieck, author of Lean Software Development: An Agile Toolkit "Kent Beck has revised his classic book based on five more years of applying and teaching XP. He shows how the path to XP is both

    Redesigning your home page won't help. Investing in a new content management system won't fix it, either. So, where do you start? Without meaningful content, your website isn't worth much to your key audiences. But creating (and caring for) "meaningful" content is far more complicated than we're often willing to acknowledge. Content Strategy for the Web explains how to create and deliver useful, usable content for your online audiences, when and where they need it most. It also shares content best practices so you can get your next website redesign right, on time and on budget. For the first time, you'll: See content strategy (and its business value) explained in plain languageFind out why so many web projects implode in the content development phase ... and how to avoid the associated, unnecessary costs and delaysLearn how to audit and analyze your contentMake smarter, achievable decisions about which content to create and howFind out how to maintain consistent, accurate, compelling content over timeGet solid, practical advice on staffing for content-related roles and responsibilities "

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.

    Today's massively scaling startups - which rapidly grow to millions of users and billions in valuation - do not sell a product or service. Instead, they build a platform on which others can create and exchange value.The many manifestations of the platform business model - social media, the peer economy, cryptocurrencies, APIs and developer ecosystems, the Internet of things, crowdsourcing models, and many others - are becoming increasingly relevant.Yet, most new platform ideas fail because the business design and growth strategies involved in building platforms are not well understood.Platform Scale lays out a structured approach to designing and growing a platform business model and addresses the key factors leading to the success and failure of these businesses.Six core concepts for successful platform business model design1. Re-imagine your business for platform scaleThe mechanism by which these new business models scale so rapidly. Understand the shift in thinking needed to manage businesses with platform scale and the impact of network effects, virality, behavior design and data."We are not in the business of building software. We are in the business of enabling interactions."2. Leverage interaction-first designHow detailed consideration around designing the producer-consumer core interaction is critical for building business models that leverage platform scale."The design of the platform business model involves the design of a core interaction followed by the design of an open infrastructure that will enable and govern this interaction."3. Build cumulative value and minimize interaction failureKnow the key managerial decisions to focus on while managing platform scale businesses, all geared towards maximizing the ability of these businesses to enable interactions by scaling producer participation and minimizing interaction failure."Platform scale is achieved by maximizing the repeatability and efficiency of the platform's core interaction."4. Solve chicken and egg problemsPlatform business models face an all too familiar catch-22 chicken and egg problem on the way to scaling. This can be overcome by designing the conditions for sparking interactions."The solution to the chicken-and-egg problem requires a bait that can break the vicious cycle of no activity."5. Design viral enginesUnderstand the drivers of viral growth in a world of networks and apply the viral canvas design-first approach to viral growth."Virality is a business design problem, not a marketing or engineering effort. It requires design before optimization."6. Account for reverse network effectsConsider the counter view on platform scale and be on the lookout for conditions where scale can be detrimental to platform businesses."The goal of platform scale is to ensure the simultaneous scaling of quantity and quality, of interactions."Platform Scale is a maker's guide for entrepreneurs, innovators and educators looking to understand and implement the inner workings of highly scalable platform business models.

    But in today’s service- and software-driven world, “done” is less obvious. When is Amazon done? When is Google done? Or Facebook? In reality, services powered by digital systems are never done. So then how do we give teams a goal that they can work on?Mostly, we simply ask teams to build features—but features are the wrong way to go. We often build features that create no value. Instead, we need to give teams an outcome to achieve. Using outcomes creates focus and alignment. It eliminates needless work. And it puts the customer at the center of everything you do.Setting goals as outcomes sounds simple, but it can be hard to do in practice. This book is a practical guide to using outcomes to guide the work of your team. "Josh’s crisp volume brims with insight about how to fly at just the right level - the level of outcomes. If you’ve ever wondered how M your MVP should be, or how to get more R in your OKRs, this book will help." --Nick Rockwell, CTO, NY Times

    This revolutionary method for connecting with customers provides readers with the ultimate competitive advantage, revealing the secret for helping their customers understand the compelling benefits of using their products, ideas, or services. Building a StoryBrand does this by teaching readers the seven universal story points all humans respond to; the real reason customers make purchases; how to simplify a brand message so people understand it; and how to create the most effective messaging for websites, brochures, and social media. Whether you are the marketing director of a multibillion dollar company, the owner of a small business, a politician running for office, or the lead singer of a rock band, Building a StoryBrand will forever transform the way you talk about who you are, what you do, and the unique value you bring to your customers.

    Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters. Complete with case studies that illustrate how Hadoop solves specific problems, this book helps you:Use the Hadoop Distributed File System (HDFS) for storing large datasets, and run distributed computations over those datasets using MapReduce Become familiar with Hadoop's data and I/O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud Use Pig, a high-level query language for large-scale data processing Take advantage of HBase, Hadoop's database for structured and semi-structured data Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems If you have lots of data -- whether it's gigabytes or petabytes -- Hadoop is the perfect solution. Hadoop: The Definitive Guide is the most thorough book available on the subject. "Now you have the opportunity to learn about Hadoop from a master-not only of the technology, but also of common sense and plain talk." -- Doug Cutting, Hadoop Founder, Yahoo!

    People don't listen to advertisements, they listen to their peers. But why do people talk about certain products and ideas more than others? Why are some stories and rumors more infectious? And what makes online content go viral? Wharton marketing professor Jonah Berger has spent the last decade answering these questions. He's studied why New York Times articles make the paper's own Most E-mailed List, why products get word of mouth, and how social influence shapes everything from the cars we buy to the clothes we wear to the names we give our children. In this book, Berger reveals the secret science behind word-of-mouth and social transmission. Discover how six basic principles drive all sorts of things to become contagious, from consumer products and policy initiatives to workplace rumors and YouTube videos.Contagious combines groundbreaking research with powerful stories. Learn how a luxury steakhouse found popularity through the lowly cheese-steak, why anti-drug commercials might have actually increased drug use, and why more than 200 million consumers shared a video about one of the seemingly most boring products there is: a blender. If you've wondered why certain stories get shared, e-mails get forwarded, or videos go viral, Contagious explains why, and shows how to leverage these concepts to craft contagious content. This book provides a set of specific, actionable techniques for helping information spread - for designing messages, advertisements, and information that people will share. Whether you're a manager at a big company, a small business owner trying to boost awareness, a politician running for office, or a health official trying to get the word out, Contagious will show you how to make your product or idea catch on.

    

    Gates stresses the need for managers to view technology not as overhead but as a strategic asset, and offers detailed examples from Microsoft, GM, Dell, and many other successful companies. Companion Web site.

    And this may sound weirdly obvious, but every single one of those pieces of software was written by a programmer. Programmers are thus among the most quietly influential people on the planet. As we live in a world made of software, they're the architects. The decisions they make guide our behavior. When they make something newly easy to do, we do a lot more of it. If they make it hard or impossible to do something, we do less of it.If we want to understand how today's world works, we ought to understand something about coders. Who exactly are the people that are building today's world? What makes them tick? What type of personality is drawn to writing software? And perhaps most interestingly -- what does it do to them?One of the first pieces of coding a newbie learns is the program to make the computer say "Hello, world!" Like that piece of code, Clive Thompson's book is a delightful place to begin to understand this vocation, which is both a profession and a way of life, and which essentially didn't exist little more than a generation ago, but now is considered just about the only safe bet we can make about what the future holds. Thompson takes us close to some of the great coders of our time, and unpacks the surprising history of the field, beginning with the first great coders, who were women. Ironically, if we're going to traffic in stereotypes, women are arguably "naturally" better at coding than men, but they were written out of the history, and shoved out of the seats, for reasons that are illuminating. Now programming is indeed, if not a pure brotopia, at least an awfully homogenous community, which attracts people from a very narrow band of backgrounds and personality types. As Thompson learns, the consequences of that are significant - not least being a fetish for disruption at scale that doesn't leave much time for pondering larger moral issues of collateral damage. At the same time, coding is a marvelous new art form that has improved the world in innumerable ways, and Thompson reckons deeply, as no one before him has, with what great coding in fact looks like, who creates it, and where they come from. To get as close to his subject has he can, he picks up the thread of his own long-abandoned coding practice, and tries his mightiest to up his game, with some surprising results.More and more, any serious engagement with the world demands an engagement with code and its consequences, and to understand code, we must understand coders. In that regard, Clive Thompson's Hello, World! is a marvelous and delightful master class.

    Along the way, we encounter black holes, turtles, snakes, dragons, axe-sharpening, and yak-shaving—and take a guided tour through the theories and methods, both brilliant and misguided, that litter the history of software development, from the famous ‘mythical man-month’ to Extreme Programming. Not just for technophiles but for anyone captivated by the drama of invention, Dreaming in Code offers a window into both the information age and the workings of the human mind.