Machine Learning

Course description

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Introduction to supervised and unsupervised machine learning algorithms. Applications in Python using scikit-learn

Syllabus

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1. Introduction to Machine Learning and to developement tools
2. Feature selection and Manifold learning
3. Classification algorithms
4. Kernel methods for classification and regression
5. Ensemble methods
6. Hidden Markov Models