If we use that model you've just described it talks to me about history now from a player's point of view. You can look back historically and see LeBron James scored way more points than average five years ago, yes that's history but it certainly bears on today. There is so much data in something that happens with machine learning when you have too much data programs start what's called overfitting which means they say wow whether or not the Lakers one last year was correlated with the phase of the moon oh dear that’s just luck. If you have so much data some of it's going to look relevant when it really isn't.
Can machine learning predict the outcome of basketball games? On this episode of StarTalk: Sports Edition, Neil deGrasse Tyson, Gary O’Reilly, and Chuck Nice talk machine learning with computer scientist and author of The Factor Man, Matt Ginsberg.
NOTE: StarTalk+ Patrons can watch or listen to this entire episode commercial-free here: https://startalkmedia.com/show/rise-of-the-machines-with-matt-ginsberg-re-release/
Thanks to our Patrons Erdem Memisyazici, Priscilla & Kyle, Steven Severin, sumplkrum, Julia Zeikowitz, Cory Ricci, Brennon Russ, Tony Marulli, Ryan Bariteau, and MTB Trucker for supporting us this week.
Photo Credit: Phil Roeder from Des Moines, IA, USA, CC BY 2.0, via Wikimedia Commons
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