I hope that this book makes everyone feel what I felt while writing it, and that love is a universal thing, and my story is not unique. And I hope that this makes them see that there is a beyond and that they can come out happy and clean. And, that this makes them braver than they already are, and gives them that little extra push and strength that they probably need

    Managers and entrepreneurs in the digital era must learn to live in two worlds—the conventional economy and the platform economy. Platforms that operate for business purposes usually exist at the level of an industry or ecosystem, bringing together individuals and organizations so they can innovate and interact in ways not otherwise possible. Platforms create economic value far beyond what we see in conventional companies.The Business of Platforms is an invaluable, in-depth look at platform strategy and digital innovation. Cusumano, Gawer, and Yoffie address how a small number of companies have come to exert extraordinary influence over every dimension of our personal, professional, and political lives. They explain how these new entities differ from the powerful corporations of the past. They also question whether there are limits to the market dominance and expansion of these digital juggernauts. Finally, they discuss the role governments should play in rethinking data privacy laws, antitrust, and other regulations that could reign in abuses from these powerful businesses.Their goal is to help managers and entrepreneurs build platform businesses that can stand the test of time and win their share of battles with both digital and conventional competitors. As experts who have studied and worked with these firms for some thirty years, this book is the most authoritative and timely investigation yet of the powerful economic and technological forces that make platform businesses, from Amazon and Apple to Microsoft, Facebook, and Google—all dominant players in shaping the global economy, the future of work, and the political world we now face.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    Employing a methodology that is primarily learning by example and “thinking with our eyes,” this manual features graphs and practical analytical techniques that can be applied to a broad range of data analysis tools—including the most commonly used Microsoft Excel. This approach is particularly valuable to those who need to make sense of quantitative business data by discerning meaningful patterns, trends, relationships, and exceptions that reveal business performance, potential problems and opportunities, and hints about the future. It provides practical skills that are useful to managers at all levels and to those interested in keeping a keen eye on their business.

    'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

    Gestalt theory and the psychology of visual perception form the basis for an analysis of art and its basic elements.

    In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications

    When fortune deserts Jai and his carefully ordered life spins inexorably out of control, Jai stands on the brink of ruin. Only a delayed monsoon can save Jai’s biggest project from disaster, but there are millions across the land praying for the exact opposite. Reason seems to have its limits - the weather defies all prediction, let alone control. Will Jai relinquish the beliefs of a lifetime? Will he reconcile with the awful ambiguity about his past? Will he be able to save his crumbling marriage?

    The first two brilliant Tom Thorne novels

    He was a Minecraft villager.And he was a zombie.He spent his days and nights doing zombie stuff.The zombie Devdan couldn't even remember his name anymore, that is, until he was visited by the pet cat he had when he was alive. Now, along with Skeleton Steve's help, Devdan sets out with his long-lost kitty to remember who he is and find his village home. But how will he find the way? And what will he do if he gets there? Will Devdan be destined to roam the Minecraft world as a zombie villager forever? Love Minecraft adventure?? Read Book 1 of the Teenage Zombie Villager now! Sign up for Skeleton Steve's Mailing List here:Author's Note: This is an unofficial Minecraft book. Minecraft is a registered trademark of, and owned by, Mojang AB, and its respective owners, which do not approve, endorse, sponsor, or authorize this book.Minecraft®/TM & © 2009-2016 Mojang AB/Notch***Tags: Minecraft Book, game fiction, Minecraft Books for Kids and Teens, minecraft games, game stories, game books, game story books, minecraft tips, minecraft secrets handbook, Minecraft Stories, kids books, minecraft free, minecraft xbox, minecraft story mode, minecraft handbook free, minecraft creepypasta, minecraft diary of a wimpy, game fanfiction, minecraft game, minecraft story book, Minecraft Steve series, minecraft journal book, minecraft comics, free kids books, Minecraft Kids Book, minecraft books for kids, Minecraft Villagers, Minecraft Creeper, herobrine, Minecraft Skeleton Steve, minecraftales, minecraft fanfiction, minecraft diaries, minecraft tales, minecraft short stories, minecraft gift, minecraft short story.

    Tom has a simple philosophy: you can treat Oracle as a black box and just stick data into it or you can understand how it works and exploit it as a powerful computing environment. If you choose the latter, then you’ll find that there are few information management problems that you cannot solve quickly and elegantly. This fully revised second edition covers the latest developments in Oracle Database 11g. Each feature is taught in a proof-by-example manner, not only discussing what it is, but also how it works, how to implement software using it, and the common pitfalls associated with it. Don’t treat Oracle Database as a black-box. Get this book. Get under the hood. Turbo-charge your career. Fully-revised to cover Oracle Database 11g Proof-by-example approach: Let the evidence be your guide Dives deeply into Oracle Databases’s most powerful features What you’ll learn Develop an evidence-based approach to problem solving Manage transactions in highly concurrent environments Speed access to data through table and index design Manage files and memory structures for performance and reliability Scale up through partitioning and parallel processing Load and unload data to interface with external systems Think for yourself; don’t take Tom’s word for it! Who this book is for This book is aimed at Oracle Database administrators, at PL/SQL and Java developers writing code to be deployed inside the database, and at developers of external applications who use Oracle Database as a data store. It is the go to book for those wishing to create efficient and scalable applications.

    "Web Analytics 2.0" presents a new framework that will permanently change how you think about analytics. It provides specific recommendations for creating an actionable strategy, applying analytical techniques correctly, solving challenges such as measuring social media and multichannel campaigns, achieving optimal success by leveraging experimentation, and employing tactics for truly listening to your customers. The book will help your organization become more data driven while you become a super analysis ninja Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

    

    Among the Hidden 2. Among the Impostors 3. Among the Betrayed 4. Among the Barrons 5. Among the Brave

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.