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YouTube

How Deep Learning is Revolutionizing Sports Analytics

Data Science Conference via YouTube

Overview

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Explore the transformative impact of deep learning on sports analytics in this 42-minute conference talk from DSC DACH 2023. Discover how advanced machine learning techniques analyze player tracking data and unstructured video recordings to generate actionable insights for player performance, game statistics, and team strategies. Learn about real-world applications through case studies of major sports analytics competitions including the NFL Big Data Bowl 2020, NFL 1st and Future-Helmet Assignment, and DFL-Bundesliga Data Shootout. Gain valuable insights into how deep learning solutions are enabling coaches and analysts to make data-driven decisions that enhance player safety, team performance, and viewer experience. Understand the current challenges, opportunities, and future trajectory of deep learning applications in sports analytics while examining practical model design approaches and implementation strategies.

Syllabus

From Data to Performance
What is Kaggle?
About me
Deep Learning in Sports Analytics - Key Impacts
Sports analytics competitions
NFL Big Data Bowl 2020
Final standings
NFL 1st and Future-Helmet Assignment
DFL-Bundesliga Data Shootout
Model design
NFL 1st and Future-Player Contact Detection
Summary

Taught by

Data Science Conference

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