Python For Data Analysis
This is a presentation I gave to a group graduate physics students on how to use the Python programming language for data analysis. We discussed how to use Jupyter Lab, how Python compares to other programming languages, and some of the libraries that are often used for data analysis (numpy, matplotlib, pandas).
presented on: 6/10/19
Boosted Decision Trees In Particle Physics
This is a presentation I gave to a group of undergraduate physics majors. During this talk, I explained how Decision Trees work, how they can be improved with boosting, and how they can be used to create a Random Forest. I than explained how Boosted Decision Trees were used in the MiniBoone experiment to classify particles.
presented on: 5/10/18
Machine Learning In Physics
This is a presentation I gave to a group of undergraduate physics majors. For this talk, I gave a basic introduction to Machine Learning. I discussed the different types of experiments that can be performed with Machine Learning, and gave a short explanation on how Neural Networks work. I than discussed how neural networks were used in the MicroBoone experiment to classify particles.
presented on: 3/21/18