Food bank queues are growing, levels of severe deprivation have been rising, and increasing numbers of children are left with their most basic needs unmet.Based on exclusive access to the largest ever survey of poverty in the UK, and its predecessor surveys in the 1980s and 1990s, Stewart Lansley and Joanna Mack track changes in deprivation and paint a devastating picture of the reality of poverty today and its causes. Shattering the myth that poverty is the fault of the poor and a generous benefit system, they show that the blame lies with the massive social and economic upheaval that has shifted power from the workforce to corporations and swelled the ranks of the working poor, a group increasingly at the mercy of low-pay, zero-hour contracts and downward social mobility.The high levels of poverty in the UK are not ordained but can be traced directly to the political choices taken by successive governments. Lansley and Mack outline an alternative economic and social strategy that is both perfectly feasible and urgently necessary if we are to reverse the course of the last three decades.

    Peek behind the counter and learn how sportsbooks operate. Combine that insider knowledge with why-didn’t-I-think-of-that sports betting logic, and you have the winning formula.Ed Miller is a best-selling (over 300,000 copies sold) author of books on poker and gambling. This is his first book on sports betting, but maybe his favorite book to write so far.Matthew Davidow is a sports modeler, using proprietary methods to beat major sports betting markets for over 15 years, and co-founding two leading private sports analytics firms along the way.What people are saying about The Logic Of Sports Betting:"Matt and Ed are two of the smartest minds in sports betting." - Rufus Peabody, professional sports bettor"As a sportsbook employee for 30-plus years, I find it difficult to read or watch anything about sports betting. But I could not put The Logic Of Sports Betting down. It’s that good." - Robert Walker, Las Vegas bookmaker

    It’s not only the currency of America but much of the world as well, the fuel of global prosperity. As the superengine of the world’s only superpower, it’s accepted everywhere. When an Asian company trades with South America, those transactions are done in dollars, the currency of international business. But for how much longer? Economists fear America is digging a hole with an economy based on massive borrowing and huge deficits that cloud the dollar’s future. Will the buck be eclipsed by the euro or even China’s renminbi? Should Americans worry when the value of the mighty U.S. dollar sinks to par with the Canadian “loonie”? Craig Karmin’s in-depth “biography” of the dollar explores these issues. It also examines the green-back’s history, allure, and unique role as a catalyst for globalization, and how the American buck became so almighty that $ became perhaps the most powerful symbol on earth. Biography of the Dollar explores every aspect of its subject: the power of the Federal Reserve, the inner sanctums of foreign central banks that stockpile the currency, and the little-known circles of foreign exchange traders that determine a currency’s worth. It traces the dollar’s ascendancy, including one incredibly important duck-hunting trip and the world-changing Bretton Woods Conference. With its watermark, color-shifting inks, and a presidential portrait that glows under ultraviolet light, the dollar has obsessed foreign governments, some of which have tried to counterfeit it. Even Saddam Hussein, who insisted on being paid in euros for oil, had $750,000 in hundred-dollar bills when captured. Yet if a worldwide currency has enabled a global economy to flourish, it’s also allowed the United States to owe unbelievable, shocking amounts of money—paying hundreds of millions of dollars every single day just in interest on foreign debt; that’s raised concerns that the dollar standard may not be sustainable. Any threat to the dollar’s privileged status would do much more than hurt American pride. It would mean U.S. companies and citizens would not be able to borrow at the low rates they have become accustomed to. The dollar’s demise would impact the rest of the world, too, boosting the costs of trade and investment if no other currency was able to play the same crucial role. Ultimately the dollar system may weaken, but it should endure—a while longer, at least; it’s in few people’s interest to see it fail, and there is still no credible alternative.Biography of the Dollar is must reading for anyone who wants to understand what truly makes the world go ’round—and whether it will continue to spin the way we want it to.From the Hardcover edition.

    We can all learn from these strategies. In this detailed analysis of IoT and Amazon's and other leading companies approach to it, John Rossman guides readers with practical insights and recommendations into the strategies and mindset transforming business and society. "John has laid out a blueprint not only for an enterprise wanting to understand how sensors embedded in their business can innovate old ways of working while also providing an excellent path for individuals wanting to start their own IoT business. The book is not only a reference tool but also paints a story around innovation and customer centricity to challenge the reader to think differently in solving problems." Eric Martinez -- Founder of Modjoul, former EVP AIG and Safeco Insurance The Amazon Way on IoT explains how the combination of sensors, cloud computing and machine learning can be used to improve customer experiences, drive operational improvements and build new business models. Rossman offers: - Guidance through the maze of emerging technologies, customer experiences, and business models, to arrive at a recipe just right for your organization - Key methods to success from Amazon’s master playbook such as creating seamless customer experiences, process improvement and new business models and utilizing tools such as sensors, machine learning and cloud computing - Approaches to help you tackle the technology, business and internal challenges in innovating with the internet of things. Renowned Harvard business professor Michael Porter describes the IoT as the backbone for a third-wave of technology-led innovation and digital disruption. The Amazon Way on IoT is for business people who want to learn cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach. As a leader at Amazon who held a front-row seat during its formative years, Rossman understands the iconic company better than most. From the launch of Amazon’s third-party seller program to its foray into enterprise services, he witnessed it all – the amazing successes, the little-known failures, and the experiments with outcomes still to be determined. Rossman once again examines the heart of Amazon.com’s secret to success, along with other leading companies. He incorporates an extensive focus on sophisticated IoT technologies and strategies related to Amazon’s rise: tens of millions of items in stock, the company’s technological prowess, and the many customer service innovations such as “one-click.” “This is an excellent book. And a very important book. It evokes both business thought and technical thought, which is rare.” -- Larry Hughes, former head of Amazon cyber security

    It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.Data Visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective "small multiple" plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible.Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings.Provides hands-on instruction using R and ggplot2Shows how the "tidyverse" of data analysis tools makes working with R easier and more consistentIncludes a library of data sets, code, and functions

    One of the best young portfolio managers on Wall Street, and helping to run the hedge fund operation of one of the world's most prestigious firms, Keith McCullough finds himself a lone voice of reason as the economic crisis of 2008 looms large. Shown the door, his life takes a fascinating turn into the world of independent research and no-holds-barred criticism.Reveals the unvarnished truth of how Wall Street and hedge funds really operate Deftly details how to analyze the markets expertly and avoid group think using technical and fundamental measures Each topic is thoroughly discussed and followed up with lessons you can take away and put to use Written with the authority of someone who knows how Wall Street and hedge funds work, yet accessible to even a casual follower of finance, Diary of a Hedge Fund Manager mixes a constructive critique of the investment industry with fundamental lessons that any investor will find valuable.

    This friendly, easy-to-read guide gently introduces you to the most commonly used features of SAS software plus a whole lot more! Authors Lora Delwiche and Susan Slaughter have revised the text to include concepts of the Output Delivery System; the STYLE= option in the PRINT, REPORT, and TABULATE procedures; ODS HTML, RTF, PRINTER, and OUTPUT destinations; PROC REPORT; more on PROC TABULATE; exporting data; and the colon modifier for informats. You'll find clear and concise explanations of basic SAS concepts (such as DATA and PROC steps), inputting data, modifying and combining data sets, summarizing and presenting data, basic statistical procedures, and debugging SAS programs. Each topic is presented in a self-contained, two-page layout complete with examples and graphics. This format enables new users to get up and running quickly, while the examples allow you to type in the program and see it work!

    . ." and "The data bear this out. . . ." But the field of statistics is not just about data. Statistics is the entire process involved in gathering evidence to answer questions about the world, in cases where that evidence happens to be numerical data. Statistics For Dummies is for everyone who wants to sort through and evaluate the incredible amount of statistical information that comes to them on a daily basis. (You know the stuff: charts, graphs, tables, as well as headlines that talk about the results of the latest poll, survey, experiment, or other scientific study.) This book arms you with the ability to decipher and make important decisions about statistical results, being ever aware of the ways in which people can mislead you with statistics. Get the inside scoop on number-crunching nuances, plus insight into how you canDetermine the odds Calculate a standard score Find the margin of error Recognize the impact of polls Establish criteria for a good survey Make informed decisions about experiments This down-to-earth reference is chock-full of real examples from real sources that are relevant to your everyday life: from the latest medical breakthroughs, crime studies, and population trends to surveys on Internet dating, cell phone use, and the worst cars of the millennium. Statistics For Dummies departs from traditional statistics texts, references, supplement books, and study guides in the following ways:Practical and intuitive explanations of statistical concepts, ideas, techniques, formulas, and calculations. Clear and concise step-by-step procedures that intuitively explain how to work through statistics problems. Upfront and honest answers to your questions like, "What does this really mean?" and "When and how I will ever use this?" Chances are, Statistics For Dummies will be your No. 1 resource for discovering how numerical data figures into your corner of the universe.

    These thinkers purported to have discovered the supposed laws of society and concluded that an elite of social scientists should assume direct control of social life.

    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.

    This connectedness is found in many incarnations: in the rapid growth of the Internet, in the ease with which global communication takes place, and in the ability of news and information as well as epidemics and financial crises to spread with surprising speed and intensity. These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which our decisions can have subtle consequences for others. This introductory undergraduate textbook takes an interdisciplinary look at economics, sociology, computing and information science, and applied mathematics to understand networks and behavior. It describes the emerging field of study that is growing at the interface of these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected.

    This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.

    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.

    In an instructive and conversational tone, Cody clearly explains how to program SAS, illustrating with one or more real-life examples and giving a detailed description of how the program works.

    Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884            0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke