STAT 365b / STAT 665b Data Mining and Machine Learning

Day / time: 
Monday & Wednesday, 11:35am - 12:50pm
Undergraduate
Graduate
Course term: 
Spring

Techniques for data mining and machine learning are covered from both a statistical and a computational perspective, including support vector machines, bagging, boosting, neural networks, and other nonlinear and nonparametric regression methods. The course will give the basic ideas and intuition behind these methods, a more formal understanding of how and why they work, and opportunities to experiment with machine learning algorithms and apply them to data. After STAT 242b.