Working with Messy Data
The Keynote Talk for the MathXperience at Central Connecticut State University on Working with Messy Data.
From Data to Decisions: MITRE’s Approach to Responsible AI with Christopher Teixeira
Dive into the complexities of building reliable AI models in high-stakes environments, where data integrity can mean the difference between success and unintended consequences.
Working with Messy Data
A talk offered to the UMass Amherst Student Chapter of SIAM sponsored by the SIAM Visiting Lecturer series.
Categorizing Pitches in Baseball
Technical talk for different groups of folks interested in the intersection of baseball and machine learning.
When Machine Learning Fails
A talk offered to the Dublin Area Student Chapter of SIAM sponsored by the SIAM Visiting Lecturer series.