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Introduction to Machine Learning
Instructor: Sargur N. Srihari
Department: Computer Science and Engineering
Institution: University at Buffalo
Platform: Independent
Year: 2017
Price: Free
Chris Bishop. Pattern Recognition and Machine Learning. Springer, 2006.
Daphne Koller and Nir Friedman, Probabilistic Graphical Models: Principles and Techniques
Machine learning is an exciting topic about designing machines that can learn from examples. The course covers the necessary theory, principles and algorithms for machine learning. The methods are based on statistics and probability-- which have now become essential to designing systems exhibiting artificial intelligence.