Who s 1

Author: Amy N. Langville
Publisher: Princeton University Press
ISBN: 1400841674
Format: PDF, Kindle
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A website's ranking on Google can spell the difference between success and failure for a new business. NCAA football ratings determine which schools get to play for the big money in postseason bowl games. Product ratings influence everything from the clothes we wear to the movies we select on Netflix. Ratings and rankings are everywhere, but how exactly do they work? Who's #1? offers an engaging and accessible account of how scientific rating and ranking methods are created and applied to a variety of uses. Amy Langville and Carl Meyer provide the first comprehensive overview of the mathematical algorithms and methods used to rate and rank sports teams, political candidates, products, Web pages, and more. In a series of interesting asides, Langville and Meyer provide fascinating insights into the ingenious contributions of many of the field's pioneers. They survey and compare the different methods employed today, showing why their strengths and weaknesses depend on the underlying goal, and explaining why and when a given method should be considered. Langville and Meyer also describe what can and can't be expected from the most widely used systems. The science of rating and ranking touches virtually every facet of our lives, and now you don't need to be an expert to understand how it really works. Who's #1? is the definitive introduction to the subject. It features easy-to-understand examples and interesting trivia and historical facts, and much of the required mathematics is included.

Sports Performance Measurement and Analytics

Author: Lorena Martin
Publisher: FT Press
ISBN: 0134193881
Format: PDF, ePub, Docs
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A PRACTICAL, REAL-WORLD GUIDE TO ANALYTICS FOR THE 5 MAJOR SPORTS: FOOTBALL, BASKETBALL, BASEBALL, SOCCER, AND TENNIS GAIN A COMPETITIVE EDGE! This is the first real-world guide to building and using analytical models for measuring and assessing performance in the five major sports: football, basketball, baseball, soccer, and tennis. Unlike books that focus strictly on theory, this book brings together sports measurement and statistical analyses, demonstrating how to examine differences across sports as well as between player positions. This book will provide you with the tools for cutting-edge approaches you can extend to the sport of your choice. Expert Northwestern University data scientist, UC San Diego researcher, and competitive athlete, Lorena Martin shows how to use measures and apply statistical models to evaluate players, reduce injuries, and improve sports performance. You’ll learn how to leverage a deep understanding of each sport’s principles, rules, attributes, measures, and performance outcomes. Sports Performance Measurement and Analytics will be an indispensable resource for anyone who wants to bring analytical rigor to athletic competition: students, professors, analysts, fans, physiologists, coaches, managers, and sports executives alike. All data sets, extensive code, and additional examples are available for download at http://www.ftpress.com/martin/ What are the qualities a person must have to become a world-class athlete? This question and many more can be answered through research, measurement, statistics, and analytics. This book gives athletes, trainers, coaches, and managers a better understanding of measurement and analytics as they relate to sports performance. To develop accurate measures, we need to know what we want to measure and why. There is great power in accurate measures and statistics. Research findings can show us how to prevent injuries, evaluate strengths and weaknesses, improve team cohesion, and optimize sports performance. This book serves many readers. People involved with sports will gain an appreciation for performance measures and analytics. People involved with analytics will gain new insights into quantified values representing physical, physiological, and psychological components of sports performance. And students eager to learn about sports analytics will have a practical introduction to the field. This is a thorough introduction to performance measurement and analytics for five of the world’s leading sports. The only book of its kind, it offers a complete overview of the most important concepts, rules, measurements, and statistics for each sport, while demonstrating applications of real-world analytics. You’ll find practical, state-of-the-art guidance on predicting future outcomes, evaluating an athlete’s market value, and more.

Modeling Techniques in Predictive Analytics with Python and R

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 013389214X
Format: PDF, Docs
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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more

Web and Network Data Science

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 0133887642
Format: PDF, ePub, Mobi
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Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.

Modeling Techniques in Predictive Analytics

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 0133886190
Format: PDF, Docs
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To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. Gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more

Author: Paul Beatty
Publisher: Εκδόσεις Καστανιώτη
ISBN: 9600361088
Format: PDF, Kindle
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**Βραβείο Man Booker 2016** Μια δηκτική, βαθιά πολιτική σάτιρα για την ταυτότητα της σύγχρονης Αμερικής, ένα μυθιστόρημα που περιγράφει την εκκεντρική ανατροφή ενός Αφροαμερικανού και μια δίκη άνευ προηγουμένου στην ιστορία των Ηνωμένων Πολιτειών. Ο αφηγητής, γεννημένος στο «αγροτικό γκέτο» του Ντίκενς στο Λος Άντζελες, αποδέχεται μοιρολατρικά το περιθώριο. Τον μεγαλώνει ο πατέρας του, ένας ιδιόρρυθμος επιστήμονας, ο οποίος τον χρησιμοποιεί ως πειραματόζωο στις αιρετικές ψυχολογικές μελέτες του για τον ρατσισμό. Ο γιος πιστεύει ότι η πρωτοποριακή εργασία του πατέρα –και ένα βιβλίο που θα προκαλέσει αίσθηση, όταν κυκλοφορήσει– θα επιλύσει τα οικονομικά τους προβλήματα. Όταν όμως αστυνομικοί σκοτώνουν τον πατέρα του, ο πρωταγωνιστής συνειδητοποιεί ότι το μόνο που έχει στα χέρια του είναι ο λογαριασμός μιας κηδείας. Παρακινημένος από την ματαίωση και την παρακμή του τόπου του, αναλαμβάνει μια εξωφρενική πρωτοβουλία: την επαναφορά της δουλείας και του φυλετικού διαχωρισμού, πράγμα που θα τον οδηγήσει ως κατηγορούμενο στο Ανώτατο Δικαστήριο της χώρας. Ο Πουλημένος του Πωλ Μπέιτι σηματοδοτεί το δημιουργικό αποκορύφωμα ενός ιδιοφυούς συγγραφέα. Το βιβλίο τιμήθηκε με το Βραβείο Booker 2016. Το 2015 απέσπασε το Εθνικό Βραβείο του Κύκλου των Κριτικών στις ΗΠΑ. «Ο Πουλημένος είναι ένα μυθιστόρημα για την εποχή μας. Μια σύγχρονη σάτιρα, ακούραστη και ευφάνταστη, το χιούμορ της οποίας μεταμφιέζει τη ριζοσπαστική σοβαρότητα του συγγραφέα της. Ο Πωλ Μπέιτι εξουδετερώνει με τρόπο αχαλίνωτο τις “ιερές αγελάδες” και βάζει στο στόχαστρό του τα φυλετικά και πολιτικά ταμπού με οξύνοια, ζωντάνια και αμεσότητα». ΑΜΑΝΤΑ ΦΟΡΜΑΝ, πρόεδρος της κριτικής επιτροπής του Βραβείου Booker 2016 «Οι εκατό πρώτες σελίδες του Πουλημένου είναι οι πιο καυστικές και ζόρικες σε αμερικανικό μυθιστόρημα τα τελευταία δέκα χρόνια τουλάχιστον... Τα αστεία σε χτυπάνε κατευθείαν στο στομάχι... Οι αυτοσχεδιασμοί είναι ασταμάτητοι σε αυτό το σατιρικό, βαθυστόχαστο μυθιστόρημα που συνιστά σταθμό». The New York Times «Μια απίστευτη σάτιρα για τη φυλετική ταυτότητα στην Αμερική... Ο Πουλημένος συνδυάζει τη ζωηρή κωμωδία και τη δριμεία κοινωνική κριτική, αλλά το πλέον εντυπωσιακό προτέρημα του βιβλίου είναι η ολοζώντανη ανθρωπιά των χαρακτήρων του». The New Yorker «Ένα αστείο και τολμηρό βιβλίο που ανατρέπει τις επιζήμιες συμβάσεις της κουλτούρας... Είναι αυτή η συνειδητή ανατροπή... που κάνει αυτό το θαρραλέο και σκληρό μυθιστόρημα τόσο απολαυστικό». The Guardian «Ο Πουλημένος ανήκει στα σημαντικότερα και πλέον δύσκολα αμερικανικά μυθιστορήματα που έχουν γραφτεί στον 21ο αιώνα... Είναι ένα επώδυνο βιβλίο που οι αναγνώστες δύσκολα θα ξεχάσουν». Los Angeles Times

Social Science Reference Sources

Author: Tze-chung Li
Publisher: Greenwood Publishing Group
ISBN: 9780313304835
Format: PDF
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Now in its third edition, this essential guide to basic reference sources in the social sciences provides evaluative entries for approximately 1,600 works in anthropology, business, economics, education, geography, history, law, political science, psychology, and sociology. The first part of the book includes chapters on general sources, while the second contains chapters on reference works in particular disciplines. Most titles published before 1980, which appear in the second edition, have been dropped, while a large number of electronic sources, including more than 200 web sites, have been added. In recognition of the proliferation of electronic information resources, the volume provides brief descriptions of the features and search methods of several online vendors.

Who s 1

Author: Christopher J. Walsh
Publisher: Taylor Pub
ISBN: 9781589793378
Format: PDF, Docs
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Details the controversy regarding the best college football program of the last hundred years by listing statistics and polls, and examining perennial powers such as USC, contenders like Tennessee, and former greats such as Yale.