He’s in love with his work colleague Melanie and his only friend Gary is a conspiracy theory nut. His life is going nowhere until he has a Near Death Experience - though Death thinks of it as a Near Dave Experience. He discovers gifts he never knew he possessed and a world he never dreamed existed. A world where the Grim Reaper is a hard drinking, grumpy Billy Joel fan and the undead are bored, lonely and dangerous. This box set contains the first 3 stories in the How To Be Dead series: How To Be Dead Paper Cuts Old Haunts They tell the story of Death and his office staff protecting humanity from ghosts, zombies, vampires and medium-sized apocalypses. After a nice cup of tea and a biscuit. “Dave Turner is a funny man and ‘How To Be Dead’ is a brilliant read.” “If Neil Gaiman and Simon Pegg sat down to write a story together they might come up with something like this.” “Hilarious and unexpectedly moving.” “Laugh out loud funny… It’s been a while since an author has made me laugh more than Pratchett does.”

    In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect.Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor.In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile.The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values.This deeply researched and passionate book could not be more timely.Naomi Klein: "This book is downright scary."Ethan Zuckerman, MIT: "Should be required reading."Dorothy Roberts, author of Killing the Black Body: "A must-read for everyone concerned about modern tools of inequality in America."Astra Taylor, author of The People's Platform: "This is the single most important book about technology you will read this year."

    He includes information on Java Platform Standard Edition 6 (Java SE 6) and offers complete coverage of the Java language, its syntax, keywords, and fundamental programming principles.

    Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs. No prior knowledge of GAs or genetics is assumed, and only a minimum of computer programming and mathematics background is required. 0201157675B07092001

    They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.

    Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience.

    Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

    It is offered for sale in print format as a convenience.Get a head start evaluating Windows Azure - with technical insights from a Microsoft MVP Mitch Tulloch. This guide introduces the latest features and capabilities, with scenario-based advice on how the platform can meet the needs of your business. Get the high-level overview you need to begin preparing your deployment now.Topics include: Understanding Windows Azure Windows Azure Compute Services Windows Azure Network Services Windows Azure Data Services Windows Azure App Services Getting Started with Windows Azure

    How can Emma escape the ties that bind her, to build a life for herself and her child?From the author of The Downstairs Maid(Note: previously published as The Ties That Bind by Linda Sole)

    1913 It's the eve of the First World War. One era ends as another is set to begin. Before life is changed forever in the maelstrom of war, the excess and extravagance of European high society blazes its trail. Acclaimed historian Virginia Cowles paints a picture of the glamour and scandals within the upper echelon of society of seven major cities, through rich prose and lively anecdotes. Rumours thrived in the public eye - King George V's speculated alcoholism, the devotion of the Russian Empress to the charlatan Rasputin - Archduke Franz Ferdinand's quick temper and conspicuous affairs. It was not only nobles who caused scandals however; even the ballet was drawn into controversy. The fame of Isadora Duncan, with her self-taught dancing in bare feet and a Greek tunic, drew equal derision and adoration. 'A Defiant Swan Song' chronicles all the highs and lows of 1913 - from major cultural events such as the suffragette movement in London, to the folly and fame of ruling elite. Parties and affairs, fashion and intrigue, dancing and duelling abound. But life was was not all one endless party before the war. Cowles reveals the tensions and divisions behind the mask of European society. 1913 would be the beginning of the end. Recommended for fans of Simon Sebag Montefiore, Andrew Roberts and Antonia Fraser. Virginia Cowles, who was brought up in Boston, left America for Europe at an early age to become a well-known journalist and historian, and is the author of 'Winston Churchill: The Era and The Man', 'Edward VII and His Circle', and 'The Kaiser', amongst other books. She was married to Aidan Crawley, M.P., and had three children. Praise for Virgina Cowles ’One of the most delightful books I have read. Miss Cowles has given us a tour-de-force, well researched, comprehensive, frank … [it] abounds in amazing stories of extraordinary personalities’ Books and Bookmen ‘Splendidly readable’ The Sunday Times

    This is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a particular course. These topics include transforms, sums of random variables, least squares estimation, the bivariate normal distribution, and a fairly detailed introduction to Bernoulli, Poisson, and Markov processes. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis has been just intuitively explained in the text, but is developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems. The book has been widely adopted for classroom use in introductory probability courses within the USA and abroad.

    Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

    With both explanation and demonstration, Davey guides you step-by-step through the entire process of generating and validating an idea, setting entry and exit points, testing systems, and implementing them in live trading. You'll find concrete rules for increasing or decreasing allocation to a system, and rules for when to abandon one. The companion website includes Davey's own Monte Carlo simulator and other tools that will enable you to automate and test your own trading ideas.A purely discretionary approach to trading generally breaks down over the long haul. With market data and statistics easily available, traders are increasingly opting to employ an automated or algorithmic trading system—enough that algorithmic trades now account for the bulk of stock trading volume. Building Algorithmic Trading Systems teaches you how to develop your own systems with an eye toward market fluctuations and the impermanence of even the most effective algorithm. Learn the systems that generated triple-digit returns in the World Cup Trading Championship Develop an algorithmic approach for any trading idea using off-the-shelf software or popular platforms Test your new system using historical and current market data Mine market data for statistical tendencies that may form the basis of a new system Market patterns change, and so do system results. Past performance isn't a guarantee of future success, so the key is to continually develop new systems and adjust established systems in response to evolving statistical tendencies. For individual traders looking for the next leap forward, Building Algorithmic Trading Systems provides expert guidance and practical advice.

     Lionel Shriver is…‘A brilliant writer’ Sunday Times‘Brilliant, funny and incisive’ Woman and Home‘Breezy, mordantly comic’ Daily Mail‘Eloquent’ ObserverIn ‘Domestic Terrorism’ Shriver examines the decline of the empty nest, in a hilarious and barbed story about an all-too-recognisable modern family.

    This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.