Fine-Grained Player Prediction in Sports with Jennifer Hobbs

    800 800 This Week in Machine Learning & AI

    In this episode of the series, I’m joined by Jennifer Hobbs, Senior Data Scientist at STATS, a collector and distributor of sports data, covering sports like basketball, soccer, American football and rugby.

    Jennifer and I explore the STATS data pipeline and how they collect and store different types of data for easy consumption and application. We dig into a paper she co-authored, Mythbusting Set-Pieces in Soccer, which takes a look at the data surrounding free kicks and corner kicks in soccer in an effort to debunk some long-standing myths around various situations. If you’re using machine learning to predict World Cup winners, you’ll definitely want to check this segment out. Finally, Jennifer and I chat about potential projects and applications of machine learning to sports, and the accessibility of sports-specific datasets for hobbyists.

    Meetup

    On July 17th at 5pm PT, Nic Teague will lead a discussion on the paper Quantum Machine Learning by Jacob Biamonte et al, which explores how to devise and implement concrete quantum software for accomplishing machine learning tasks. If you haven’t joined our meetup yet, visit twimlai.com/meetup to do so.

    Also, be sure to sign up for our weekly newsletter. I recently shared a write up detailing the ML/AI Job Board we’re working on, and got a ton of encouragement and interest. To make sure you don’t miss anything, head over to twimlai.com/newsletter to sign up.

    About Jennifer

    Mentioned in the Interview

    “More On That Later” by Lee Rosevere licensed under CC By 4.0

    Leave a Reply

    Your email address will not be published.