The following is a list of free or paid online courses on machine learning, statistics, data-mining, etc.

## Machine-Learning / Data Mining

* [Artificial Intelligence (Columbia University)](https://www.edx.org/course/artificial-intelligence-ai-columbiax-csmm-101x) - free
* [Machine Learning (Columbia University)](https://www.edx.org/course/machine-learning-columbiax-csmm-102x) - free
* [Machine Learning (Stanford University)](https://www.coursera.org/learn/machine-learning) - free
* [Neural Networks for Machine Learning (University of Toronto)](https://www.coursera.org/learn/neural-networks) - free
* [Deep Learning Specialization (by Andrew Ng, deeplearning.ai)](https://www.coursera.org/specializations/deep-learning) - Courses: I Neural Networks and Deep Learning; II Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; III Structuring Machine Learning Projects; IV Convolutional Neural Networks; V Sequence Models; Paid for grading/certification, financial aid available, free to audit
* [Machine Learning Specialization (University of Washington)](https://www.coursera.org/specializations/machine-learning) - Courses: Machine Learning Foundations: A Case Study Approach, Machine Learning: Regression, Machine Learning: Classification, Machine Learning: Clustering & Retrieval, Machine Learning: Recommender Systems & Dimensionality Reduction,Machine Learning Capstone: An Intelligent Application with Deep Learning; free
* [Machine Learning Course (2014-15 session) (by Nando de Freitas, University of Oxford)](https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/) - Lecture slides and video recordings.
* [Learning from Data (by Yaser S. Abu-Mostafa, Caltech)](http://www.work.caltech.edu/telecourse.html) - Lecture videos available
* [Intro to Machine Learning](https://www.udacity.com/course/intro-to-machine-learning--ud120) - free
* [Probabilistic Graphical Models (by Prof. Daphne Koller, Stanford)](https://www.coursera.org/specializations/probabilistic-graphical-models) Coursera Specialization or [this Youtube playlist](https://www.youtube.com/watch?v=WPSQfOkb1M8&list=PL50E6E80E8525B59C) if you can't afford the enrollment fee.
* [Reinforcement Learning Course (by David Silver, DeepMind)](https://www.youtube.com/watch?v=2pWv7GOvuf0&list=PLzuuYNsE1EZAXYR4FJ75jcJseBmo4KQ9-) - YouTube playlist and [lecture slides](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html).
* [Keras in Motion](https://www.manning.com/livevideo/keras-in-motion)