Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, … in Computer and Information Science)

Price: $54.99 – $52.46
(as of Dec 27,2024 16:17:15 UTC – Details)

Publisher ‏ : ‎ Springer; 1st ed. 2020 edition (December 10, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 152 pages
ISBN-10 ‏ : ‎ 3030649113
ISBN-13 ‏ : ‎ 978-3030649111
Item Weight ‏ : ‎ 7.9 ounces
Dimensions ‏ : ‎ 6.1 x 0.35 x 9.25 inches

Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, Exploring the Latest Innovations in Sports Data Analysis

The intersection of machine learning, data mining, and sports analytics has revolutionized the way sports organizations and enthusiasts analyze and understand athletic performance. The 7th International Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA 2020) is set to take place in Ghent, Belgium, as part of the prestigious European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) 2020.

This workshop will bring together researchers, practitioners, and industry experts to discuss the latest advancements in using machine learning and data mining techniques to extract insights from sports data. From player performance analysis to injury prediction and game strategy optimization, MLSA 2020 will cover a wide range of topics that are shaping the future of sports analytics.

Attendees can expect to hear from leading experts in the field, participate in hands-on workshops, and network with like-minded professionals. Whether you are a data scientist, sports analyst, or sports enthusiast, MLSA 2020 offers a unique opportunity to learn about cutting-edge research and applications in sports analytics.

Don’t miss out on this exciting event in the beautiful city of Ghent, Belgium. Stay tuned for more updates on MLSA 2020 and join us in exploring the endless possibilities of machine learning and data mining in sports analytics.
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