This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    The scientifically devised unbalanced K-O count can be used profitably anywhere blackjack is played: Las Vegas, Atlantic City, Mississippi, riverboat casinos, Native American casinos, the Bahamas, and on cruise ships.This second edition, revised and expanded, is now easier to use than ever. Step into the ring and learn to:Implement an abbreviated system—the “K-O Rookie”— that’s powerful enough to yield a player advantage and simple enough to be mastered in a few hours.Advance to a profession-level system—the “K-O Preferred”—which performs on par with the most sophisticated systems on the market.Win the cat-and-mouse game between the casinos and the players.

    It includes sections on viniculture and viticulture, Old World and New World wines, beer and other fermented beverages, and all varieties of spirits. Review questions, key terms, a pronunciation guide, maps, and even sample wine labels provide invaluable test prep information for acing the major sommelier certification exams. For each type of beverage, author Michael Gibson covers the essential history, manufacturing information, varieties available, and tasting and pairing information. He also includes sections on service, storage, and wine list preparation for a full understanding of every aspect of beverage service. - An ideal test prep resource for anyone studying for certification by The Court of Master Sommeliers, The Society of Wine Educators, or The International Sommelier Guild - An excellent introduction to wine and beverages for bartenders, beverage enthusiasts, and students - Based on education materials developed by the author for his culinary and hospitality students at the Le Cordon Bleu College of Culinary Arts in Scottsdale With concise, accessible information from an expert sommelier, this is the most complete guide available to all the wines, beers, and spirits of the world.

    No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra). This text may be used in a one or two course sequence. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    It was a fertile era for new genres, from alt-rock to Afropop, hip hop to techno. Rock critic Robert Christgau's obsessive ear and authoritative pen have covered it all-over 3,800 albums graded and classified, from A+s to his celebrated turkeys and duds. A rich appendix section ensures that nothing's been left out-from "subjects for further research" to "everything rocks but nothing ever dies." Christgau's Consumer Guide is essential reading and reference for any dedicated listener.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    He's a genuine voice of the people, the bastard child of Woody Guthrie and James Brown, and an elder statesman who has inspired generations of bands. He's won twenty Grammy Awards, an Oscar, two Golden Globes, and is a member of two Halls of Fame.There are dozens of books about Springsteen. What's left to say? Nothing objective, perhaps. But when it comes to music, objectivity is highly overrated. Robert Wiersema has been a Springsteen fan since he was a teenager, following tours to see multiple shows in a row, watching set lists develop in real time via the Internet, ordering bootlegs from shady vendors in Italy. His attachment is deeper than fandom, though: he's grown up with Springsteen's songs as the soundtrack to his life, beginning with his youth in rural British Columbia and continuing on through dreams of escape, falling in love, and becoming a father.Walk Like a Man is the liner notes for a mix tape, a blend of biography, music criticism, and memoir. Like the best mix tapes, it balances joy and sorrow, laughter seasoning the dark-night-of-the-soul questions that haunt us all. Wiersema's book is the story of a man becoming a man (despite getting a little lost along the way), and of Springsteen's songs and life that have accompanied him on his journey.

    Nancy Butcher has gathered together some of the most unusual natural cures that have been proven effective today, and even throws in some unbelievable and-thankfully-abandoned therapies from times past.Filled with case histories of unique illnesses, historic documentation of strange medical practices, and the author's own insightful commentary, this book explains not only how to cure headaches, sleep better, and improve your sex life, but also that people with Cotard's syndrome actually believe they are dead.

    Tome was born in 1782 near present-day Harrisburg and lived on the upper Susquehanna for much of his life. He tells colorful (and mostly true) tales about his hunting exploits in the Pennsylvania wilderness, as he tracked elk, wolves, bears, panthers, foxes, and other large animals through the state’s north-central mountains, earning wide renown among his contemporaries. His stories contain suspenseful chase scenes, accidents, and narrow escapes, inviting the reader to view a still-wild Pennsylvania through the eyes of one who “was never conquered by man or animal.” Pioneer Life, originally published in 1854, has since been reprinted several times. This classic hunting memoir includes the following chapters: I. Birth and Early Life II. Hunting the Elk III. Capturing a Live Elk IV. Face of the Country V. Face of the Country — Continued VI. Danger From Rattlesnakes VII. Wolf and Bear Hunting VIII. Another Elk Hunt IX. Elk-Hunting on the Susquehannah X. Elk-Hunting — Continued XI. Nature, Habits, and Manner of Hunting the Elk XII. Elk and Bear Hunting in Winter XIII. Hunting on the Clarion River XIV. Hunting and Trapping XV. The Bear, Its Nature and Habits XVI. Hunting Deer at Different Seasons XVII. Nature and Habits of the Panther, Wolf and Fox XVIII. Rattlesnakes and Their Habits XIX. Distinguished Lumbermen, Etc. XX.. Reminiscences of Cornplanter XXI. Indian Eloquence This book originally published in 1854 has been reformatted for the Kindle and may contain an occasional defect from the original publication or from the reformatting

    To some, nuclear deterrence appeared as utter madness, and was in fact commonly referred to as M.A.D. The concept of Mutually Assured Destruction provoked protests and marches, and the architect of M.A.D, General Curtis LeMay, became a symbol of madness himself.

    Written by an experienced teacher and examiner, Cambridge IGCSE Biology Workbook helps students build the skills required in both their theory and practical examinations. The exercises in this write-in workbook help to consolidate understanding and get used to using knowledge in new situations, develop information handling and problem solving skills, and develop experimental skills including planning investigations and interpreting results. This accessible book encourages students to engage with the material. The answers to the exercises can be found on the Teacher's Resource CD-ROM.

    Monte Carlo. The ultimate race in the Formula One calendar.When you think of Formula One, you think of Monaco. Once a year, yachts jam the harbour, celebrities fill the stands and luxury sports cars litter the streets as of thousands of people gather from across the world to watch the greatest, and one of the oldest, races in motorsport.Monaco is glamorous, prestigious and seductive. But for the drivers, it is the most demanding race of the year. The narrow streets, tight corners and sharp elevations make it the ultimate test of driving skill. It is physically draining and mentally exhausting.Proposed today, the race would not exist but it remains the jewel in the crown for every Formula One driver. There is simply no other race like it.Win at Monaco and your name is etched in history. You will join the likes of Graham Hill, Jackie Stewart, Ayrton Senna, Alain Prost, Michael Schumacher and Lewis Hamilton.With exclusive interviews and insight from drivers and a wealth of F1 insiders, award-winning sportswriter Malcolm Folley goes behind the scenes to discover what it's really like to drive and live and breathe this iconic circuit. He reveals along the way a unique and definitive portrait of the circuit, and recreates in thrilling detail its most extraordinary weekend, when only three cars finished.

    It transcends the years, the standings, and all other distractions. And thanks to the countless remarkable football games between Michigan and Ohio State--and hundreds of thousands of devoted alumni and followers--the rivalry is now an enormous cultural event.