Machine Learning

In the Tufts Department of Computer Science, machine learning research covers both core issues and real-world applications of machine learning. Learn more at the Tufts CS Machine Learning Research Group website.

Recent focus areas include:

• probabilistic graphical models
• deep learning for graph data
• Bayesian deep learning
• semi-supervised learning
• applications of spatial data modeling to ecology
• applications of time-series analysis to healthcare

Faculty:

• Ann W. Lambertus and Peter Lambertus Assistant Professor Mike Hughes
• Assistant Professor Liping Liu

Relevant Machine Learning Courses at Tufts:

• CS 135: Introduction to Machine Learning
• CS 136: Statistical Pattern Recognition
• CS 137: Deep Neural Networks
• CS 138: Reinforcement Learning
• CS 150: Bayesian Deep Learning