Basketball Data Science

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Basketball Data Science

Author : Paola Zuccolotto,Marica Manisera
Publisher : CRC Press
Page : 245 pages
File Size : 46,8 Mb
Release : 2020-01-03
Category : Business & Economics
ISBN : 9780429894268

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Basketball Data Science by Paola Zuccolotto,Marica Manisera Pdf

Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player's shots or doing an analysis of the impact of high pressure game situations on the probability of scoring, this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge, Basketball Data Science with R is suitable for students, technicians, coaches, data analysts and applied researchers. Features: One of the first books to provide statistical and data mining methods for the growing field of analytics in basketball Presents tools for modelling graphs and figures to visualize the data Includes real world case studies and examples, such as estimations of scoring probability using the Golden State Warriors as a test case Provides the source code and data so readers can do their own analyses on NBA teams and players

Sports Analytics and Data Science

Author : Thomas W. Miller
Publisher : FT Press
Page : 576 pages
File Size : 44,6 Mb
Release : 2015-11-18
Category : Business & Economics
ISBN : 9780133887419

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Sports Analytics and Data Science by Thomas W. Miller Pdf

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This up-to-the-minute reference will help you master all three facets of sports analytics — and use it to win! Sports Analytics and Data Science is the most accessible and practical guide to sports analytics for everyone who cares about winning and everyone who is interested in data science. You’ll discover how successful sports analytics blends business and sports savvy, modern information technology, and sophisticated modeling techniques. You’ll master the discipline through realistic sports vignettes and intuitive data visualizations–not complex math. Every chapter focuses on one key sports analytics application. Miller guides you through assessing players and teams, predicting scores and making game-day decisions, crafting brands and marketing messages, increasing revenue and profitability, and much more. Step by step, you’ll learn how analysts transform raw data and analytical models into wins: both on the field and in any sports business.

Basketball Data Science

Author : Paola Zuccolotto,Marica Manisera
Publisher : CRC Press
Page : 205 pages
File Size : 52,7 Mb
Release : 2020-01-03
Category : Business & Economics
ISBN : 9780429894251

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Basketball Data Science by Paola Zuccolotto,Marica Manisera Pdf

Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an MBA player’s shots or doing an analysis of the impact of high pressure game situations on the probability of scoring, this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge, Basketball Data Science with R is suitable for students, technicians, coaches, data analysts and applied researchers. Features: · One of the first books to provide statistical and data mining methods for the growing field of analytics in basketball. · Presents tools for modelling graphs and figures to visualize the data. · Includes real world case studies and examples, such as estimations of scoring probability using the Golden State Warriors as a test case. · Provides the source code and data so readers can do their own analyses on NBA teams and players.

Basketball Analytics

Author : Stephen M. Shea,Christopher E. Baker
Publisher : Createspace Independent Publishing Platform
Page : 0 pages
File Size : 41,6 Mb
Release : 2013
Category : Basketball
ISBN : 1492923176

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Basketball Analytics by Stephen M. Shea,Christopher E. Baker Pdf

Basketball Analytics is a must-read for any sports analytics enthusiast or student of the game of basketball. Authors Stephen Shea, Ph.D. (Professor of Mathematics) and Christopher Baker (Software Engineer) utilize their unique skill-set to introduce original metrics for analyzing player performance, team style and team construction in the NBA. While demonstrating an awareness of the industry's best ideas, the authors present original, objective and efficient strategies for understanding how teams win. New player performance statistics include Offensive Efficiency (OE), Efficient Offensive Production (EOP), Defensive Stops Gained (DSG), and Approximate Value (AV). OE reflects a player's ability to make the most fundamental offensive decisions. EOP adjusts a player's points and assists based on his efficiency. DSG gives a complete measure of a player's defensive contributions, without relying on individual player statistics like blocks and steals. AV is a measure of total player performance that rivals any publicly available statistic. Basketball Analytics introduces groundbreaking metrics on player involvement in the offense. Point, Rebound and Assist Balance aggregate player usage in these critical statistics. New studies on the NBA show whether teams should strive for balance or unbalance. An NBA draft pick value study determines the average value of each pick and the likelihood of landing a star or role player with each draft position. The results of this study are used to discuss topics including the biggest draft blunders and steals, the draft success of each NBA team, and the quality of each draft class dating back to 1977. This valuable understanding of the NBA Draft creates a foundation for discussing various approaches to team development and construction. Additionally, the authors discuss redefining the positions on the court, unpredictability in the game, data visualization, and applications of spatial tracking technology. There are many intensely debated questions surrounding the NBA today. Who are the most valuable players, and how do they compare to past greats? Which players have the greatest impact on their team's defense? Should Kobe Bryant be concerned with getting his teammates involved in the offense? How do offenses differ in the clutch, and which players thrive in these situations? How difficult is it for a team to rebuild through the draft? Basketball Analytics introduces new statistics and new concepts to explore these questions and more.

Pragmatic AI

Author : Noah Gift
Publisher : Addison-Wesley Professional
Page : 720 pages
File Size : 49,8 Mb
Release : 2018-07-12
Category : Computers
ISBN : 9780134863917

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Pragmatic AI by Noah Gift Pdf

Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value. Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you’ll need Quickly review all the Python you need to start building machine learning applications Master the AI and ML toolchain and project lifecycle Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more Work with Microsoft Azure AI APIs Walk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Basketball on Paper

Author : Dean Oliver
Publisher : U of Nebraska Press
Page : 403 pages
File Size : 45,9 Mb
Release : 2020-02-15
Category : Sports & Recreation
ISBN : 9781640123892

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Basketball on Paper by Dean Oliver Pdf

Journey "inside the numbers" for an exceptional set of statistical tools and rules that can help explain the winning, or losing, ways of a basketball team. Basketball on Paper doesn't diagram plays or explain how players get in shape, but instead demonstrates how to interpret player and team performance. Dean Oliver highlights general strategies for teams when they're winning or losing and what aspects should be the focus in either situation. He describes and quantifies the jobs of team leaders and role players, then discusses the interactions between players and how to achieve the best fit. Oliver conceptualizes the meaning of teamwork and how to quantify the value of different types of players working together. He examines historically successful NBA teams and identifies what made them so successful: individual talent, a system of putting players together, or good coaching. Oliver then uses these statistical tools and case studies to evaluate the best players in history, such as Magic Johnson, Wilt Chamberlain, Bill Russell, and Charles Barkley and how they contributed to their teams' success. He does the same for some of the NBA's "oddball" players-Manute Bol, Muggsy Bogues, and Dennis Rodman and for the WNBA's top players. Basketball on Paper is unique in its incorporation of business and analytical concepts within the context of basketball to measure the value of players in a cooperative setting. Whether you're looking for strategies or new ideas to throw out while watching the ballgame at a sports bar, Dean Oliver'sBasketball on Paper will give you amazing new insights into teamwork, coaching, and success.

Basketball Analytics

Author : Stephen M. Shea
Publisher : Unknown
Page : 0 pages
File Size : 46,8 Mb
Release : 2014-12-07
Category : Basketball
ISBN : 1503236277

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Basketball Analytics by Stephen M. Shea Pdf

Equipped with new spatial tracking data collected by SportVU and others, Basketball Analytics investigates game strategy, player evaluation, player types, and prospect potential. Author Stephen Shea, Ph.D. introduces new measures of a player's scoring and playmaking efficiency, quantifies the spacing in an offense and the stretch of a defense, and demonstrates several ways in which the NBA game has changed over the years. He also reveals the full methodology behind popular topics from the blog, BasketballAnalyticsBook.com, such as the College Prospect Rating System and the periodic tables of NBA elements. The author presents a modern viewpoint on basketball analytics' most fundamental principles and demonstrates the power of the industry's latest statistical breakthroughs. Basketball Analytics is a must-read for any sports analytics enthusiast.

Sprawlball

Author : Kirk Goldsberry
Publisher : Mariner Books
Page : 257 pages
File Size : 47,5 Mb
Release : 2019
Category : Sports & Recreation
ISBN : 9781328767516

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Sprawlball by Kirk Goldsberry Pdf

"Beautifully illustrated and sharply written, SprawlBall is both a celebration and a critique of the 3-point shot. If you want to understand how the modern NBA came to be, you'll need to read this book." --Nate Silver, editor of fivethirtyeight.com From the leading expert in the exploding field of basketball analytics, a stunning infographic decoding of the modern NBA: who shoots where, and how. The field of basketball analytics has leaped to overdrive thanks to Kirk Goldsberry, whose visual maps of players, teams, and positions have helped teams understand who really is the most valuable player at any position. SprawlBall combines stunning visuals, in-depth analysis, fun, behind-the-scenes stories and gee-whiz facts to chart a modern revolution. From the introduction of the 3-point line to today, the game has changed drastically . . . Now, players like Steph Curry and Draymond Green are leading the charge. In chapters like "The Geography of the NBA," "The Interior Minister (Lebron James)," "The Evolution of Steph Curry," and "The Investor (James Harden)," Goldsberry explains why today's on-court product--with its emphasis on shooting, passing, and spacing--has never been prettier or more democratic. And it's never been more popular. For fans of Bill Simmons and FreeDarko, SprawlBall is a bold new vision of the game, presenting an innovative, cutting-edge look at the sport based on the latest research, as well as a visual and infographic feast for fans.

Basketball Sports Medicine and Science

Author : Lior Laver,Baris Kocaoglu,Brian Cole,Amelia J. H. Arundale,Jeffrey Bytomski,Annunziato Amendola
Publisher : Springer Nature
Page : 1018 pages
File Size : 49,5 Mb
Release : 2020-10-05
Category : Medical
ISBN : 9783662610701

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Basketball Sports Medicine and Science by Lior Laver,Baris Kocaoglu,Brian Cole,Amelia J. H. Arundale,Jeffrey Bytomski,Annunziato Amendola Pdf

This book is designed as a comprehensive educational resource not only for basketball medical caregivers and scientists but for all basketball personnel. Written by a multidisciplinary team of leading experts in their fields, it provides information and guidance on injury prevention, injury management, and rehabilitation for physicians, physical therapists, athletic trainers, rehabilitation specialists, conditioning trainers, and coaches. All commonly encountered injuries and a variety of situations and scenarios specific to basketball are covered with the aid of more than 200 color photos and illustrations. Basketball Sports Medicine and Science is published in collaboration with ESSKA and will represent a superb, comprehensive educational resource. It is further hoped that the book will serve as a link between the different disciplines and modalities involved in basketball care, creating a common language and improving communication within the team staff and environment.

The Science of Basketball

Author : Alexandru Radu
Publisher : Routledge
Page : 190 pages
File Size : 45,8 Mb
Release : 2018-08-15
Category : Sports & Recreation
ISBN : 9781351789714

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The Science of Basketball by Alexandru Radu Pdf

The Science of Basketball is the only book to examine the scientific principles underpinning preparation and performance in basketball, applied to both individual and team contexts. Drawing on the very latest scientific evidence, and including contributions from leading international coaches and scientists involved in the sport, the book explores every aspect of physical and mental preparation and performance, including: strength and conditioning, and training strategies physiological aspects of performance nutrition and supplementation psychological preparation skill acquisition biomechanical aspects of performance performance analysis injury epidemiology, prevention and rehabilitation coach education Incorporating case studies at the end of each chapter to demonstrate how scientific principles can be applied to practice, the book bridges the gap between theory and applied practice in basketball better than any other. It is essential reading for any student, researcher, sport scientist, coach, physiotherapist or clinician with an interest in the game, and illuminative supplementary reading for students of sport science and sports coaching.

Analytic Methods in Sports

Author : Thomas A. Severini
Publisher : CRC Press
Page : 327 pages
File Size : 44,7 Mb
Release : 2020-04-15
Category : Mathematics
ISBN : 9781000050943

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Analytic Methods in Sports by Thomas A. Severini Pdf

One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Second Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. The book gives you all the tools necessary to answer key questions in sports analysis. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analyses. The book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter. Features Covers numerous statistical procedures for analyzing data based on sports results Presents fundamental methods for describing and summarizing data Describes aspects of probability theory and basic statistical concepts that are necessary to understand and deal with the randomness inherent in sports data Explains the statistical reasoning underlying the methods Illustrates the methods using real data drawn from a wide variety of sports Offers many of the datasets on the author’s website, enabling you to replicate the analyses or conduct related analyses New to the Second Edition R code included for all calculations A new chapter discussing several more advanced methods, such as binary response models, random effects, multilevel models, spline methods, and principal components analysis, and more Exercises added to the end of each chapter, to enable use for courses and self-study

Basketball Stats Vs Analytics

Author : John Philip
Publisher : Unknown
Page : 0 pages
File Size : 44,6 Mb
Release : 2023-10-06
Category : Electronic
ISBN : 1738004716

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Basketball Stats Vs Analytics by John Philip Pdf

A quick and easy read to help you take your understanding of basketball to the next level! This new third version of the book is newly formatted and full of updated information from the 2023 NBA season. Basketball is one of the most popular sports in the world, yet most fans don't know much about the details of the game. Stats vs Analytics will provide an introduction to the world of analytics and provide insight into the story of the game that goes beyond the box score. Without overcomplicating the issues Basketball Stats vs Analytics will give you insight into the metrics of the modern game. Highly competitive teams in leagues all over the world rely on analytics to scout opponents and find talent. Get a brief introduction to why some players are highly valued, even though the standard box scores may not show big numbers, learn what is the relationship between stats and analytics, gain more insight into the value of the players you like to watch and see how coaches and GMs use analytics to help them win. Learn the basics about: The Game's Evolution: Explore the fascinating history of basketball statistics and how they've evolved over the years. From the days of paper scorecards to cutting-edge player tracking technology, discover the journey that has transformed the sport we love. The Analytics Revolution: Uncover the hidden truths of basketball analytics. Learn how shot selection, player evaluation, defensive strategies, and even injury prevention have been revolutionized by the power of data-driven insights. Gain a deep understanding of the game's intricacies. A Competitive Edge: Discover how analytics can inform better coaching decisions, optimize player performance, and elevate your basketball IQ to the next level. Your Playbook: "Basketball Stats vs Analytics" equips you with the playbook for navigating the data-driven world of basketball. With a comprehensive look at player impact metrics, shot selection strategies, and ethical considerations, you'll be prepared to embrace the future of the game. Learn about: True Shooting Percentage (TS%) Effective Shooting Percentage (EFG%) Points Per Possession (PPP) Player Efficiency Rating (PER) Usage Rate or Percentage (USG%) Offensive Rating (ORtg) Offensive and Defensive Rebound Rate (ORB% and DRB%) Assist and Turnover Rate (AST% and TOV%) Steal and Block Rate Points Per 100 Possessions Offensive and Defensive Efficiency and more... Basketball Stats vs Analytics: A Quick and Easy Beginners Guide to Basketball Analytics is a must read for anyone hoping to share in basketball conversations with astute friends and colleagues. Or a great read for people new to the game that want to understand a little bit more of why things happen and what makes a team or player great.

Modern Data Science with R

Author : Benjamin S. Baumer,Daniel T. Kaplan,Nicholas J. Horton
Publisher : CRC Press
Page : 830 pages
File Size : 41,9 Mb
Release : 2021-03-31
Category : Business & Economics
ISBN : 9780429575396

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Modern Data Science with R by Benjamin S. Baumer,Daniel T. Kaplan,Nicholas J. Horton Pdf

From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.

Recent Advances in Data Science

Author : Henry Han,Tie Wei,Wenbin Liu,Fei Han
Publisher : Springer Nature
Page : 295 pages
File Size : 40,7 Mb
Release : 2020-09-28
Category : Computers
ISBN : 9789811587603

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Recent Advances in Data Science by Henry Han,Tie Wei,Wenbin Liu,Fei Han Pdf

This book constitutes selected papers of the ​Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China, in June 2019. The 19 full papers and 1 short paper were carefully reviewed and selected from 93 submissions. The papers are organized according to the following topical sections: business data science: fintech, management, and analytics.- health and biological data science.- novel data science theory and applications.

Handbook of Statistical Methods and Analyses in Sports

Author : Jim Albert,Mark E. Glickman,Tim B. Swartz,Ruud H. Koning
Publisher : CRC Press
Page : 521 pages
File Size : 47,5 Mb
Release : 2017-02-03
Category : Mathematics
ISBN : 9781498737371

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Handbook of Statistical Methods and Analyses in Sports by Jim Albert,Mark E. Glickman,Tim B. Swartz,Ruud H. Koning Pdf

This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has the potential to become the standard reference for obtaining the necessary background to conduct serious statistical analyses for sports applications and to appreciate scholarly work in this expanding area.