Machine Learning

In the Tufts Department of Computer Science, machine learning research covers both core issues and real-world applications of machine learning. 

Recent focus areas include:

• Probabilistic machine learning
• Deep learning for graph data
• Bayesian deep learning
• Generative models
• Semi-supervised learning
• Applications of spatial data modeling to dynamic systems
• Applications of time-series analysis to healthcare

Faculty:

• Wittich Family Assistant Professor Professor Mike Hughes
• Associate 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 145: Bayesian Deep Learning
• CS 150: Generative Models