Free Online Courses
edX.org: free online courses
YouTube playlists for the videos of the course: http://bit.ly/16PPtuI
Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.
Covers linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines.
The lectures in week 3 give an excellent introduction to MapReduce and Hadoop, and demonstrate with examples how to use MapReduce to do various tasks.
Five-hour lecture videos on YouTube
A course at Stanford University, containing 18 videos, with each of over 1 hour length
The courses, lectured by(Associate/Assistant) Professors of Johns Hopkins University, are designed for students to learn to become Data Scientists and apply their skills in a capstone project.
Instructors: Jure Leskovec, Anand Rajaraman and Jeff Ullman, Stanford University
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences