Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problemsEach chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer supportThe authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data miningMore advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data miningCovers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis

    Learn the importance of obedience to God's Word in planting seed for finances.

    Courses tailored to fit individual pupils. Textbooks that talk back. This is tomorrow’s education landscape, thanks to the power of big data. These advances go beyond the much-discussed rise of online courses. As the New York Times-bestselling authors of Big Data explain, the truly fascinating changes are actually occurring in how we measure students’ progress and how we can use that data to improve education for everyone, in real time, both on- and offline. Learning with Big Data offers an eye-opening, insight-packed tour through these new trends, for educators, administrators, and readers interested in the latest developments in business and technology.

    In Where There's a Will, Stephen M. Silverman shows just how different with a peek at the wills of the richest, most celebrated people of all time, and he provides the intimate scoop on what their heirs had to say about it. Discover what secret pact Clark Gable made in 1942 and took to his grave - only to be exposed when his will was read. Learn why it took more than a year for Liza Minnelli to raise the $37,500 needed to bury the ashes of her mother, Judy Garland, and what treasures were left to the heirs of Babe Ruth, James Dean, John Jacob Astor, Ernest Hemingway, and Ayn Rand once those wills cleared probate. From Marilyn Monroe and Andy Warhol to John Lennon, Jim Morrison, John Steinbeck, Rita Hayworth, and Jack Dempsey, Where There's a Will . . . is an utterly engrossing read sure to captivate tycoons and gossip addicts alike with its fascinating tales of how the other half bequeaths.

     I am an independent mobile app entrepreneur just like you, and I wrote this book to teach you all my strategies for how to: - Get 1,000,000+ downloads from mobile app store marketing - Save money by doing your own ASO (search engine optimization SEO for Android and the Apple App stores) better than most consultants you might consider hiring - Create an app marketing strategy outside the app stores by getting press coverage and learning how to promote an app using social media and social sharing - Make money with effective app store monetization to help you maximize your app revenue with subscriptions, in-app purchases, publishing effective ads, selling affiliate products and other strategies used by successful mobile app businesses - Create a successful mobile app business I wrote this book with all my heart and soul. The book draws on my own years of experience building top apps in my niche, promoting apps, making money with my apps, and coaching other app entrepreneurs on how they can make turn their mobile apps into successful businesses. You will be getting the best of all worlds. First, I have very deep hands on experience building and growing my own apps. Second, I have a wealth of experience coaching and observing other app entrepreneurs whose experiences and aspirations are probably very similar to yours. In this book you get all the insights from me making my own apps a success, and the insights of the cumulative experiences of the people I've coached. This is a very to the point book with many actionable tips and strategies for how to promote your mobile app (iPhone or Android), make money from your smartphone applications, and generally treat it as a real business. All suggestions in this book are based on my own experiences promoting my own problemio.com business apps which at the point of latest revision of this book have cumulative 1,000,000+ downloads, and insights of me having coached over 100 other app entrepreneurs. I am an independent mobile application developer and mobile application entrepreneur just like you. I am not a multi-million dollar app development studio or a big company. If you are an independent app developer just like me, you can use the mobile application marketing strategies that I outline in this book. Many of the strategies are simple and effective, and you can begin working on them as early as today. The book contains over 20 strategies to promote your apps. They all worked for my apps and they will help you grow your app to its highest potential. After growing your app, you will be able to make good money from your app, and achieve the goals that you have for your app business. Get the book now, and become a pro at app store marketing (app store SEO which is otherwise known as ASO), and start increasing your app downloads and revenue today!

    One cool new sneaker. For a company like Nike, the combination can equal millions of dollars in profits. That's why the shoe companies are engaged in a frantic full-court press to find and sign the next generation of hoop stars -- before the competition does. The result: America's playgrounds, high schools, and junior high schools have become corporate battlegrounds for the hearts, minds, and feet of young athletes. This shocking expose shows how money is driving the amateur basketball world, even attempting to control coaches, teams, and whole universities -- and how young men and women with a little talent and a dream are being tempted to sacrifice their future for glittering promises and a new pair of shoes.

    It's not just a technical book or just a businessguide. Data is ubiquitous and it doesn't pay much attention toborders, so we've calibrated our coverage to follow it wherever itgoes.In the first edition of Big Data Now, the O'Reilly team tracked thebirth and early development of data tools and data science. Now, withthis second edition, we're seeing what happens when big data grows up:how it's being applied, where it's playing a role, and theconsequences -- good and bad alike -- of data's ascendance.We've organized the second edition of Big Data Now into five areas:Getting Up to Speed With Big Data -- Essential information on thestructures and definitions of big data.Big Data Tools, Techniques, and Strategies -- Expert guidance forturning big data theories into big data products.The Application of Big Data -- Examples of big data in action,including a look at the downside of data.What to Watch for in Big Data -- Thoughts on how big data will evolveand the role it will play across industries and domains.Big Data and Health Care -- A special section exploring thepossibilities that arise when data and health care come together.

    

    In the legendary manager's very first book, and in his own images and captions, Jose Mourinho charts the peaks and troughs of the opening fifteen years of what has been a stellar rise to the summit of the global game.Through more than 120 personally selected images (some of which are exclusive to the book), fans will relish an intimate and unmissable opportunity to understand and further appreciate this giant of the sport.

    What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be.A tech entrepreneur and pioneering research scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence, and what it would take to get there. Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. This is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don't correlate data sets: we make conjectures informed by context and experience. Human intelligence is a web of best guesses, given what we know about the world. We haven't a clue how to program this kind of intuitive reasoning, known as abduction. Yet it is the heart of common sense. That's why Alexa can't understand what you are asking, and why AI can only take us so far.Larson argues that AI hype is both bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we want to make real progress, we will need to start by more fully appreciating the only true intelligence we know--our own.

    I hope it helps you too!

    Now the true inside story of the sports agent business is exposed as never before.During baseball's evolution from national pastime to a $3.6 billion business, the game's agents have played a pivotal role in driving and (some might say) ruining the sport. In a world of unchecked egos and minimal regulation, client-stealing and financial inducements have become commonplace, leading many to label the field a cesspool, devoid of loyalties and filled with predators.Matt Sosnick entered these shark-infested waters in 1997, leaving a job as CEO of a San Francisco high-tech company to represent ballplayers--and hoping to do so while keeping his romantic love of baseball and his integrity intact. License to Deal follows Sosnick as he deals with his up-and-coming clients (his most famous is the 2003 rookie-of-the-year pitching sensation Dontrelle Willis). We become privy to never-before-disclosed stories behind the rise of baseball's most powerful agent, Scott Boras. And we get a novel perspective on the art of the deal and the economics of baseball.By one of baseball's most respected sportswriters, who is now ESPN.com's lead Insider baseball reporter, License to Deal, like Michael Lewis's bestselling Moneyball, will provide fuel for many a heated baseball discussion.

    In many ways this has improved our lives, yet, we as individuals do not benefit from this wealth of data as much as we could. Moreover, whether it is a bank evaluating our credit worthiness, an insurance company determining our risk level, or a potential employer deciding whether we get a job, it is likely that this data will be used against us rather than for us. In Data for the People, Andreas Weigend draws on his years as a consultant for commerce, education, healthcare, travel and finance companies to outline how Big Data can work better for all of us. As of today, how much we benefit from Big Data depends on how closely the interests of big companies align with our own. Too often, outdated standards of control and privacy force us into unfair contracts with data companies, but it doesn't have to be this way. Weigend makes a powerful argument that we need to take control of how our data is used to actually make it work for us. Only then can we the people get back more from Big Data than we give it. Big Data is here to stay. Now is the time to find out how we can be empowered by it.

    The whole process seems overwhelming. This conversational and action oriented book is for people who want to write a book (or are thinking about it), but for their whole life, have never been good at writing. Writing has always been difficult for you, and you think you could never enjoy it, much less write an entire book. Every time you start to write anything it’s like all of your ideas disappear. You know the drill. You get ready to do some writing. You’re pumped and think this will be the day all of your great ideas flood the page. Then ... You find yourself staring at a blank screen. You have no idea what you want to write about. After some time, you want to bang your head against the keyboard. You want to write a book. In fact, you know you have a book inside you but, you keep telling yourself: “I’m not a writer. I can’t write a book. I don’t have enough time anyway.” There are TONS of myths, misconceptions, and flat-out lies out there about how difficult it is to write your first book. How to Not SUCK at Writing Your First Book busts those myths and challenges everything you’ve been told about writing. This book is filled with proven solutions, options, and problem-solving methods that every first-time author needs to know—no matter what writing challenges you face. How to Not SUCK at Writing Your First Bookgives you the foundation for your first book through: 4 tried and true writing methods that make the writing process simple, easy & fast A writing method that involves 0 actual writing (your book can be done in as little as 7 hours) Simple strategies for preventing & defeating writer’s block Uncovering the #1 way to actually finish and publish your book (hint: is has nothing to do with writing) Shows you how simple and fast writing a book can actually be (by holding your hand every step of the way). Follow the advice given in this book and by the end, after putting what I have to say into action, you will have easily written a high-quality book. Best of all, the rest of your life doesn’t have to be put on hold to do it either! This book shows you how you can continue to spend most of your time doing what you love instead of struggling through something you hate. Before your buy the book, I have one question for you: What’s stopping you from turning your daily conversations and knowledge into a high-quality book faster than you ever thought possible? Scroll to the top and click the “buy now” button and you will write your first book-- and not suck at it.

    Increasingly, scientific breakthroughs will be powered by advanced computing capabilities that help researchers manipulate and explore massive datasets. The speed at which any given scientific discipline advances will depend on how well its researchers collaborate with one another, and with technologists, in areas of eScience such as databases, workflow management, visualization, and cloud-computing technologies. This collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.