Machine Learning Courses

At Coursera: Taught by Andrew Ng, the co-founder of Coursera:

https://www.coursera.org/course/ml

and Neural Nets taught by Geoffrey Hinton

https://www.coursera.org/course/neuralnets

and Mining Massive Data Sets, by Jure Leskovec, Anand Rajaraman and Jeff Ullman also at courser:

https://www.coursera.org/course/mmds

At Udacity: Intro to Data Science, here.

Exploratory Data Science, with Facebook’s data scientists: here.

Intro to Hadoop and MapReduce, here.

Data Wrangling with MongoDB, here.

Machine Learning, 1, 2, and 3, herehere and here coming soon.

At Google: Making Sense of Data:  Google’s class on Fusion Tables

https://datasense.withgoogle.com/preview

At MLSS: Machine Learning Summer School:  a list of all of them: here.

At Stanford, Mining Massive Data Sets (not free), but here’s the text book:

At edX, Harvard’s MOOC, (this one is not machine learning, but an interesting and very light introduction to Sandy Pentland’s book : Social Physics and his MIT lab fellows).

  • Sandy Pentland, Big Data and Social Physics (May 14, 2014-): here.

At edX, Caltech’s Abu-Mustafa’s very technical and rigorous class:

  • Learning from Data: here.

YouTube, Victor Lavrenko‘s huge number of short pieces with really wonderful counterexamples here

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