Machine Learning – Stanford Class
From the course description:
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). (iv) Reinforcement learning. The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
A free Stanford class on machine learning being taught by Professor Andrew Ng!
Over 200,000 people have viewed Professor Ng’s machine learning lectures on YouTube. Now you can participate and even get a certificate of accomplishment.
I am already planning to take the free Introduction to Artificial Intelligence class at Stanford so I can only hope they repeat Machine Learning next year.