Video description
Sports analytics today is more than a matter of analyzing box scores and play-by-play statistics. Faced with detailed on-field or on-court data from every game, sports teams face challenges in data management, data engineering, and analytics. Thomas Miller details the challenges faced by a Major League Baseball team as it sought competitive advantage through data science and deep learning.
Product information
- Title: How major league baseball teams are using data science and deep learning for to better predict outcomes and game strategy
- Author(s):
- Release date: July 2019
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0636920421443
You might also like
book
Principles of Data Science - Second Edition
Learn the techniques and math you need to start making sense of your data Key Features …
book
Python Data Science Essentials - Third Edition
Gain useful insights from your data using popular data science tools Key Features A one-stop guide …
book
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. …
video
O'Reilly Strata Data Conference 2019 - New York, New York
The 2019 Strata Data Conference NYC, the biggest Big Data conference in the world, was a …
