Michael Littman

Michael Littman is a Professor of Computer Science at Rutgers University and (soon) Brown University.

More info: http://www.cs.rutgers.edu/~mlittman/

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Reinforcement Learning (Udacity)

You should take this course if you have an interest in machine learning and the desire to engage with it from a theoretical perspective. Through a combination of classic papers and more recent work, you will explore automated decision-making from a computer-science perspective. You will examine efficient algorithms, where [...]

Machine Learning: Unsupervised Learning (Udacity)

Conversations on Analyzing Data. Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning! Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. [...]

Machine Learning (Udacity)

Supervised, Unsupervised & Reinforcement. Machine Learning is a graduate-level course covering the area of Artificial Intelligence concerned with computer programs that modify and improve their performance through experiences. The first part of the course covers Supervised Learning, a machine learning task that makes it possible for your phone to [...]

Intro to Algorithms (Udacity)

Self Paced
Intro to Algorithms (Udacity)
Free Course
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This class will give you an introduction to the design and analysis of algorithms, enabling you to analyze networks and discover how individuals are connected.