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Machine Learning

Learn about machine learning, the area of artificial intelligence (AI) that is concerned with computational artifacts that modify and improve performance through experience.


Featured on: Mar 21, 2018

In this course, we will present algorithms and approaches in such a way that grounds them in larger systems as you learn about a variety of topics, including: statistical supervised and unsupervised learning methods randomized search algorithms Bayesian learning methods reinforcement learning The course also covers theoretical concepts such as inductive bias, the PAC and Mistakeā€bound learning frameworks, minimum description length principle, and Ockham's Razor. In order to ground these methods the course includes some programming and involvement in a number of projects. By the end of this course, you should have a strong understanding of machine learning so that you can pursue any further and more advanced learning.


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