Jolt's Picks: Using Machine Learning to Predict Major League Baseball Hit Streak

Join us in September to learn how machine learning pipelines, API calls, and out-of-box thinking can be combined to "beat the streak".

Agenda

6:00 PM -- Greetings, networking, food, and drink
6:30 PM -- Jolt's Picks: Using Machine Learning to Predict Major League Baseball Hit Streaks -- Lucas Kelly
7:30 PM -- Closings and Swag!

Location
UMBC Technology Center
Main Seminar Room
1450 S Rolling Road, Halethorpe, MD 21227

The Main Seminar Room is on the ground floor directly to the left of the entrance.

Parking
There is ample free parking near the building.

Food and Drink
Complimentary food, such as pizza and chips, and beverages will be provided.

Talk
Jolt's Picks: Using Machine Learning to Predict Major League Baseball Hit Streaks
Can you beat baseball legend Joe DiMaggio’s 56 consecutive game hit streak? The short answer is no, you cannot. But, can you play Bet MGM’s “Beat The Streak” and win $5.6 million? Yes, you can! In this presentation FanGraphs writer and Data Scientist Lucas Kelly will present how he used machine learning in an attempt to predict a hitter most likely to get a hit in a major league baseball game each day, leveraging analytics to make more intelligent decisions. You will see how machine learning pipelines, API calls, and out-of-box thinking may help win an impossible game.

Speaker
Lucas Kelly is a writer for the baseball analytics website FanGraphs and a Data Scientist at the World Wildlife Fund. He is a baseball analytics hobbyist and loves to play and write about fantasy baseball. He uses his data science background and python coding skills to gain an edge in his fantasy leagues. He has not yet "Beat The Streak". If he did, he would be living on his own personal island somewhere.

Company
FanGraphs - Baseball statistics for Major League baseball and Minor League baseball with statistical analysis, graphs, and projections.