Machine Learning and Data Mining for Sports Analytics
| Author | : Ulf Brefeld |
| Publisher | : Springer Nature |
| Total Pages | : 206 |
| Release | : |
| Genre | : |
| ISBN | : 3031538331 |
Download Machine Learning and Data Mining for Sports Analytics Book in PDF, ePub and Kindle
Machine Learning And Data Mining For Sports Analytics PDF Download
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Machine Learning and Data Mining for Sports Analytics
| Author | : Ulf Brefeld |
| Publisher | : Springer |
| Total Pages | : 179 |
| Release | : 2019-04-06 |
| Genre | : Computers |
| ISBN | : 3030172740 |
Download Machine Learning and Data Mining for Sports Analytics Book in PDF, ePub and Kindle
This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.
Machine Learning and Data Mining for Sports Analytics
| Author | : Ulf Brefeld |
| Publisher | : Springer Nature |
| Total Pages | : 141 |
| Release | : 2020-12-09 |
| Genre | : Computers |
| ISBN | : 3030649121 |
Download Machine Learning and Data Mining for Sports Analytics Book in PDF, ePub and Kindle
This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020. Due to the COVID-19 pandemic the conference was held online. The 11 papers presented were carefully reviewed and selected from 22 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation.
Machine Learning and Data Mining for Sports Analytics
| Author | : Ulf Brefeld |
| Publisher | : Springer Nature |
| Total Pages | : 135 |
| Release | : 2023-02-24 |
| Genre | : Computers |
| ISBN | : 3031275276 |
Download Machine Learning and Data Mining for Sports Analytics Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 9th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2022, held in Grenoble, France, during September 19, 2022. The 10 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections as follows: Football, Racket sports, Cycling.
Sports Data Mining
| Author | : Robert P. Schumaker |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 144 |
| Release | : 2010-09-10 |
| Genre | : Computers |
| ISBN | : 1441967303 |
Download Sports Data Mining Book in PDF, ePub and Kindle
Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis’ best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.
Sports Analytics and Data Science
| Author | : Thomas W. Miller |
| Publisher | : FT Press |
| Total Pages | : 576 |
| Release | : 2015-11-18 |
| Genre | : Business & Economics |
| ISBN | : 0133887413 |
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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.
Sports Analytics
| Author | : Ambikesh Jayal |
| Publisher | : Routledge |
| Total Pages | : 236 |
| Release | : 2018-06-12 |
| Genre | : Sports & Recreation |
| ISBN | : 1351838954 |
Download Sports Analytics Book in PDF, ePub and Kindle
As the analysis of big datasets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in data analytics grows. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance provides the most authoritative and comprehensive guide to the use of analytics in sport and its application in sports performance, coaching, talent identification and sports medicine available. Employing an approach-based structure and integrating problem-based learning throughout the text, the book clearly defines the difference between analytics and analysis and goes on to explain and illustrate methods including: Interactive visualisation Simulation and modelling Geospatial data analysis Spatiotemporal analysis Machine learning Genomic data analysis Social network analysis Offering a mixed-methods case study chapter, no other book offers the same level of scientific grounding or practical application in sports data analytics. Sports Analytics is essential reading for all students of sports analytics, and useful supplementary reading for students and professionals in talent identification and development, sports performance analysis, sports medicine and applied computer science.
Machine Learning and Data Mining for Sports Analytics
| Author | : Ulf Brefeld |
| Publisher | : Springer Nature |
| Total Pages | : 211 |
| Release | : 2022-05-03 |
| Genre | : Computers |
| ISBN | : 3031020448 |
Download Machine Learning and Data Mining for Sports Analytics Book in PDF, ePub and Kindle
This book constitutes the refereed post-conference proceedings of the 8th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2021, held as virtual event in September 2021. The 12 full papers and 4 short papers presented were carefully reviewed and selected from 29 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation.
Sports Analytics
| Author | : A Mansurali |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2024-09-25 |
| Genre | : Technology & Engineering |
| ISBN | : 9783031635724 |
Download Sports Analytics Book in PDF, ePub and Kindle
This book allows readers embark on a journey through the exhilarating world of sports enhanced by the power of data-driven insights. From the nail-biting moments on the field to the strategic decisions behind the scenes, this comprehensive guide unveils the secrets that propel teams to victory and champions to greatness. The authors explore the cutting-edge techniques and methodologies that revolutionize the way we understand and analyze sports performance. From player evaluations to game strategies, injury prevention to fan engagement, this book equips you with the tools to gain a competitive edge in any sport. Whether you're a coach, player, analyst, or simply a passionate fan, this book will change the way you see the game. The book details how to use analytics and machine learning to highlight key performance indicators (KPIs) of sports for analysis. The authors show how to apply various statistical techniques, machine learning and data mining algorithms for on-field and off-field analysis. They go on to show how analytical algorithms are used in the sports ecosystem to derive solutions for the team and leadership, helping team managers and coaches to monitor games and player information through dashboards. The book then shows how to deploy machine learning algorithms for validating and improving teams and players performance. The book is relevant to professionals and academics working in machine learning and data analysis related to sports.
Artificial Intelligence in Sport Performance Analysis
| Author | : Duarte Araújo |
| Publisher | : Routledge |
| Total Pages | : 208 |
| Release | : 2021-04-21 |
| Genre | : Medical |
| ISBN | : 1000380157 |
Download Artificial Intelligence in Sport Performance Analysis Book in PDF, ePub and Kindle
To understand the dynamic patterns of behaviours and interactions between athletes that characterize successful performance in different sports is an important challenge for all sport practitioners. This book guides the reader in understanding how an ecological dynamics framework for use of artificial intelligence (AI) can be implemented to interpret sport performance and the design of practice contexts. By examining how AI methodologies are utilized in team games, such as football, as well as in individual sports, such as golf and climbing, this book provides a better understanding of the kinematic and physiological indicators that might better capture athletic performance by looking at the current state-of-the-art AI approaches. Artificial Intelligence in Sport Performance Analysis provides an all-encompassing perspective in an innovative approach that signals practical applications for both academics and practitioners in the fields of coaching, sports analysis, and sport science, as well as related subjects such as engineering, computer and data science, and statistics.
