MOOCs which I have completed and currently watching:
Khan Academy
Multivariable Calculus
Differential and Integral Calculus
Differential Equations
Probability and Statistics
Linear Algebra
Coursera and edX
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital - Duke University
Discrete Inference and Learning in Artificial Vision - Centrale Supelec
Machine Learning - Andrew Ng, Stanford
Competitive Strategy - LMU
Probabilistic Systems Analysis and Applied Probability - John Tsitsiklis, MIT
Linear Algebra - Gilbert Strang
Videos and Lectures
CS231n - Convolutional Neural Networks for Visual Recognition, Stanford
Computer Vision by James Hays, Georgia Tech
Computer Vision by Mubarak Shah
CS224d - Deep Learning for Natural Language Processing
Machine Learning by Tom Mitchell
Learning from Data by Abu Mostafa
Reinforcement Learning by David Silver
Deep Reinforcement Learning by John Schulman
Neural Networks by Hugo Larochelle
Neural Networks by Geoffery E. Hinton