Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, intuitive visual representations of real-world examples are used to show how Bayes' rule is actually a form of commonsense reasoning. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to gain an intuitive understanding of Bayesian analysis. As an aid to understanding, online computer code (in MatLab, Python and R) reproduces key numerical results and diagrams.Stone's book is renowned for its visually engaging style of presentation, which stems from teaching Bayes' rule to psychology students for over 10 years as a university lecturer.

    With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You'll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media.Learn how to apply the tidy text format to NLPUse sentiment analysis to mine the emotional content of textIdentify a document's most important terms with frequency measurementsExplore relationships and connections between words with the ggraph and widyr packagesConvert back and forth between R's tidy and non-tidy text formatsUse topic modeling to classify document collections into natural groupsExamine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages

    Most of the time, Harvard-educated psychiatrist Richard Novic is Rick, a man at the office or a husband and father at home. But one night a week, he is Alice, a woman about town, shopping, dining, dancing, and dating a man for nearly a decade.In contrast to the life he leads today, Rick Novic suffered since his sporty, nerdy boyhood with a secret, a desire he was in no way equipped to handle, but one that eventually burst through his denial, a few months before his wedding day. Just once, he felt, while he still could, he had to know how it felt to be a woman.Like Alice in Wonderland, his curiosity led him to fall headlong down a rabbit hole, through desperate straits, mind-opening surprises, heart-rending changes, gritty sex, and boundless love. By the time he was back on his feet, he was a different person, living a lifestyle he hadnt known existed. Anyone who has struggled to figure out who they are and how they want to live will surely appreciate this informative and engaging life story.Praise for Alice in Genderland Few know the transgender scene like GIRL TALK magazines Alice Novic. This exciting new memoir by her male alter ego takes us along with him and the people he loves, as he encounters and explores each twist and turn around him and within him. As much Lewis and Clark as it is Lewis Carroll, Alice in Genderland blazes a new trail in the world of crossdressing.Linda Jensen, contributing writer, Transgender Forum Alice bravely explores the limits of gender, sexuality, and relationshipsa sexy, poignant, and often hilarious memoir of transgenderism.Vernon A. Rosario, M.D., author of The Erotic Imagination , clinical faculty, UCLA Neuropsychiatric InstituteMore provocative than soothing, Alice in Genderland is fascinating and well worth reading.Vern L. Bullough, Ph.D., author of Crossdressing, Sex, and Gender, past president of the Society of the Scientific Study of Sex

    With advice that is direct, prescriptive, and detailed, it takes the guesswork out of travel by unambiguously rating and ranking everything from hotels, restaurants, and attractions to rental car companies.With an Unofficial Guide in hand, and authors Bob Sehlinger and Len Testa as guides, find out what's available in every category, from best to worst, and use step-by-step detailed plans to help make the most of your time at Walt Disney World.

    Starting with their roots in the Australian pub circuit, this book takes a thorough look at where the band came from, where they've been, and where they're going. Bon Scott and the Young brothers' earlier bands are discussed, as well as the trio's first collaboration, supplemented by rare photographs and interviews with more than 50 of the band's friends and colleagues. Previously unpublished details on Bon Scott's untimely death in 1980 and the strange circumstances around it are revealed, along with information on AC/DC's upcoming album, their first in five years.

    Divided into three sections, Mindset, Fitness and Nutrition, this book will teach you how to make positive changes to your life and empower yourself, with each chapter featuring numerous tips from Dame Kelly. Change your mindset to reach emotional wellbeing with easy-to-follow mindfulness exercises, keep your body strong with running, strength and flexibility exercises, and learn which foods best nourish your body with 5 ways to improve the way you eat. Drawing on her own experience, Dame Kelly guides you through how to harness your mind and reap the benefits of good food and exercise.

    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.

    

    From the classroom to the courtroom and from financial markets to supermarkets, Mlodinow's intriguing and illuminating look at how randomness, chance, and probability affect our daily lives will intrigue, awe, and inspire.

    But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.Topics include:Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and HadoopDoing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

    Or a crumbling platform from some once-bustling junction buried under the buddleia. If you are lucky you might be able to follow some rusting tracks, or explore an old tunnel leading to…well, who knows where? Listen hard. Is that the wind in the undergrowth? Or the spectre of a train from a golden era of the past panting up the embankment?These are the ghosts of The Trains Now Departed. They are the railway lines, and services that ran on them that have disappeared and gone forever. Our lost legacy includes lines prematurely axed, often with a gripping and colourful tale of their own, as well as marvels of locomotive engineering sent to the scrapyard, and grand termini felled by the wrecker's ball. Then there are the lost delights of train travel, such as haute cuisine in the dining car, the grand expresses with their evocative names, and continental boat trains to romantic far-off places.The Trains Now Departed tells the stories of some of the most fascinating lost trains of Britain, vividly evoking the glories of a bygone age. In his personal odyssey around Britain Michael Williams tells the tales of the pioneers who built the tracks, the yarns of the men and women who operated them and the colourful trains that ran on them. It is a journey into the soul of our railways, summoning up a magic which, although mired in time, is fortunately not lost for ever.THIS EDITION REVISED AND UPDATED TO INCLUDE MAPS.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    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.

    He has seen the bone-weary effort his single mum mustered to raise three kids and pay the bills. A poor boy who grew into a middle class man, his spending habits and attitude to money are still informed by growing up without it.Money is one of the most fraught subjects; it raises powerful emotions in all of us. Too much money often corrupts people - too little can make people feel desperate.In On Money, Morton examines the meaning of money and exposes the lie behind the government's mantra: have a go, get a go.

    In Dataclysm, Christian Rudder uses it to show us who we truly are.   For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers.   In this daring and original book, Rudder explains how Facebook "likes" can predict, with surprising accuracy, a person’s sexual orientation and even intelligence; how attractive women receive exponentially more interview requests; and why you must have haters to be hot. He charts the rise and fall of America’s most reviled word through Google Search and examines the new dynamics of collaborative rage on Twitter. He shows how people express themselves, both privately and publicly. What is the least Asian thing you can say? Do people bathe more in Vermont or New Jersey? What do black women think about Simon & Garfunkel? (Hint: they don’t think about Simon & Garfunkel.) Rudder also traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible.   Visually arresting and full of wit and insight, Dataclysm is a new way of seeing ourselves—a brilliant alchemy, in which math is made human and numbers become the narrative of our time.