Machine Learning
https://www.coursera.org/learn/machine-learning
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. 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.
The following topics are covered in this course: (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)
Andrew Ng