Machine Learning and Data Mining

This course provides an introduction to machine learning and data mining. Topics include:

- Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels).

- Unsupervised learning (clustering, dimensionality reduction, recommender systems).

- Best practices in machine learning (bias/variance theory).

The course will applicable to numerous case studies - text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.