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Watch: Basics of Machine Learning

Watch series on machine learning, going from basics like Naive Bayes, Decision Tree, Generalization and Overfitting, to more complex topics like Hierarchical Agglomerative Clustering.

This video series covers the Basics of Machine Learning, and was created by Dr. Victor Lavrenko of University of Edinburgh. Below is a listing of all of the lectures and topics in those lectures:

Lecture 5: Naive Bayes
Lecture 6: Decision Tree
Lecture 7: Generalization and Overfitting
Lecture 9: Nearest Neighbor Method
Lecture 16: K-means Clustering
Lecture 17: Mixture Models and the EM Algorithm
Lectures 18-19: Principal Component Analysis
Lecture 20: Hierarchical Agglomerative Clustering

Dr. Victor Lavrenko is a Lecturer in Informatics at the University of Edinburgh. He works on developing better algorithms for search engines, with a particular focus on interaction, multimedia and scalability. You can find more information about him at his homepage.