DataRobot

SEPTEMBER 2, 2021

When I first worked in the MLB in the 80’s, there were only a handful of data scientists employed. Now, fast forward to the present day where not only are there college degrees in sports analytics, but they have even become popular. It’s been exciting for me to get to work with professional sports teams around the globe.

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DataRobot Blog

DECEMBER 7, 2019

Using the DataRobot’s automated machine learning platform and data from numerous sources ranging from MLB payrolls, to free agent signings, to historical player performance, we built an array of AI models to tell us specific details about how this free agent market would play out, showing contract values, terms, and destinations for every player.

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FlowingData

OCTOBER 18, 2022

With Chartball , Andrew Garcia Phillips has been visualizing sports data for a while publishing to various mediums — Twitter , Tumblr , posters , and YouTube — showing animated and engaging insights on how individual teams and players perform. 1, 2022 @mlb #baseball #dataviz ? It Was A Good Day – Ice Cube.

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Smart Data Collective

JULY 25, 2019

Sports, in general, were largely anti-data science simply because it didn’t seem like it could apply to a game. Fast forward to the present day, and data science and data analytics are being used in virtually every single sport. Baseball has always been a huge influencer on analytics across sports.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Mike brings a wealth of knowledge and experience to the team with a master’s degree in analytics from the University of Chicago, a bachelor’s degree in sport management from the University of Florida, and experience in both the scouting department of the Minnesota Vikings and the recruiting department of Florida Gator Football.

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