This class is offered as CS7641 at Georgia Tech where it is a part of the Online Masters Degree (OMS). Taking this course here will not earn credit towards the OMS degree.
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 recognize your voice, your email to filter spam, and for computers to learn a bunch of other cool stuff.
In part two, you will learn about Unsupervised Learning. Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? Such answers can be found in this section!
Finally, can we program machines to learn like humans? This Reinforcement Learning section will teach you the algorithms for designing self-learning agents like us!
Machine Learning is the ROX,Decision Trees,Regression and Classification,Neural Networks,Instance-Based Learning,Ensemble B&B,Kernel Methods and Support Vector Machines (SVM)s,Computational Learning Theory,VC Dimensions,Bayesian Learning,Bayesian Inference
Randomized optimization,Clustering,Feature Selection,Feature Transformation,Information Theory
Markov Decision Processes,Reinforcement Learning,Game Theory