Research Computing Workshops

Academic and Research Computing Services (ARCS) offers a series of workshops for students, faculty, and staff at Harvey Mudd College. Most of the workshops are open to The Claremont Colleges. These workshops introduce the basics of research computing and machine learning.

A Hands-on Workshop series in Machine Learning

The Machine Learning workshop series consisting of 7 to 8 two-hour sessions is taught by Aashita Kesarwani every semester. The topics include data cleaning using pandas and regular expressions, neural networks architectures including multi-layer perceptron, recurrent neural networks, convolutional neural network, and transformer models along with their application to real-world datasets.

For complete and up-to-date information on topics covered and the schedule, please visit the Github repository.

Previous Workshops:

• Machine Learning Workshop Series
• A Hands-on Introduction to Data Manipulation Using Pandas REU Workshop
• A Gentle Introduction to Deep Learning REU Workshop
• Application of Decision Trees and Random Forest, a guest lecture at the Machine Learning course at CGU
• A Hands-on Introduction to Machine Learning Using Python on Kaggle, guest workshop at CMC