David Schwartz

Apply Machine Learning Convolutional Neural Network for Classification Genomic Datasets

In my presentation I will show how we can apply a convolutional neural network to classify genomic data. I will discuss CNN’s and how they work along with showing the application to genomic datasets.

SFTE 445 – Introduction to Machine Learning and AI

Dr. Ernest Bonat

3:30pm – L204

David Schwartz

The Introduction of Statcast to Major League Baseball

Major League Baseball has been a driving force in American sports and statistical developments with the introduction of Statcast. Statcast uses the combination of doppler radar and video to obtain advanced statistics that are utilized for the development of baseball players. Prior to Statcast the general focus when it came to statistics in baseball were simple stats like Earned Run Average, Hits, Runs Batted In, etc. With the introduction of Statcast, we can focus more on predictive statistics that helps coaches scout players from a different perspective. For example, statistics like Expected Batting Average, Expected Weighted On Base Percentage, and many other recently introduced advanced stats that are discussed to show the benefit of using Statcast data for creating the most successful team possible. The introduction of Statcast, along with many other technological advances Major League Baseball has made created a window of growth for the baseball community as a whole by introducing new ways to analyze players and their development.

MATH 499 – Senior Capstone

Brian Carrigan

10:30am – 11:00am P103