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Machine Learning Class by Stanford Engineering


Several members of FamiLAB are enrolled in Stanford Engineering’s Machine Learning class – if you’ve wanted to study Machine Learning, this is a great (and free!) opportunity to jump in. If you are in the Orlando area, contact us if you are interested in a local study group.

From the website:

 “A bold experiment in distributed education, “Machine Learning” will be offered free and online to students worldwide during the fall of 2011. Students will have access to lecture videos, lecture notes, receive regular feedback on progress, and receive answers to questions. When you successfully complete the class, you will also receive a statement of accomplishment.”

“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.”

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