A Review of Baseball Data Sources
Hello, readers! Its been a while. I’ve taken a slight hiatus from blogging, but I have a few projects in the pipeline. To
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Multi-Armed Bandit Explore-Exploit Framework
I recently read an interesting article about about the concept of “openers.” The article shared the idea of having a reliever pitch the
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Machine Learning to Predict Player Decline
This past off season was interesting for the MLB. Mike Moustakes never signed a big contract. All-star players like Eric Hosmer and Jake
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Forecasting Mike Trout’s Wikipedia Searches
At the moment, Facebook is a controversial company. However, data scientists can probably agree on this statement: Facebook’s prophet forecasting package is awesome.
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Game Theory Applications in Baseball
Game theory is the science of strategy. It determines how logical “players” should behave in strategic contexts and predicts the utility the “players”
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Building an At-Bat Simulator
Simulation modeling is one of my favorite forms of analysis. Understanding how a process operates under certain conditions has always fascinated me. What
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OPS Projections with Machine Learning
As spring training approaches, the excitement for a new season becomes fresh. Fans and commentators alike discuss teams’ prospects, and multiple organizations release
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When Will a Pitcher Surrender a Run?
Here’s the scenario: Eighth inning in a tight game, a lefty walks to the plate against a right-handed pitcher. Any baseball fan knows
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Using Machine Learning to Predict Baseball Hall of Famers
Being inducted into Major League Baseball’s Hall of Fame (HoF) is the highest honor a baseball player can receive. The achievement is rare;
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How Good (or Bad) Could the Royals Be?
I’ve always found simulation modeling to be highly informative. Given certain conditions and logic, what is likely to happen given repeated trials? What
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