awesome-machine-learning/courses.md

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) - free
• Machine Learning (Columbia University) - free
• Machine Learning (Stanford University) - free
• Neural Networks for Machine Learning (University of Toronto) - free. Also available on YouTube as a playlist.
• Deep Learning Specialization (by Andrew Ng, deeplearning.ai) - 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 Deep Learning Nano Degree on Udacity (https://www.udacity.com/course/deep-learning-nanodegree--nd101) - $ Intro to Deep Learning (MIT) (http://introtodeeplearning.com/)
• [Stanford's CS20 Tensorflow for Deep Learning Research] (http://web.stanford.edu/class/cs20si/) fast.ai - deep learning MOOC (http://www.fast.ai/)
• Machine Learning Specialization (University of Washington) - 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) - Lecture slides and video recordings.
• Learning from Data (by Yaser S. Abu-Mostafa, Caltech) - Lecture videos available
• Intro to Machine Learning - free
• Probabilistic Graphical Models (by Prof. Daphne Koller, Stanford) Coursera Specialization or this Youtube playlist if you can't afford the enrollment fee.
• Reinforcement Learning Course (by David Silver, DeepMind) - YouTube playlist and lecture slides.
• Keras in Motion $
• Stanford's CS231n: CNNs for Visual Recognition - Spring 2017 iteration, instructors (Fei-Fei Li, Justin Johnson, Serena Yeung) , or Winter 2016 edition instructors (Fei-Fei Li, Andrej Karpathy, Justin Johnson). Course website has supporting material.
• University of California, Berkeley's CS294: Deep Reinforcement Learning - Fall 2017 edition. Course website has lecture slides and other related material.
• Machine Learning (Georgia Tech) on Udacity - free
• Reinforcement Learning (Georgia Tech) on Udacity - free
• Machine Learning for Trading - free
• Mining of Massive Datasets (YouTube playlist)- Course website has info about accompanying book, free chapters, and Stanford's MOOC
• Machine Learning Crash Course (Google) - free
• Machine Learning Mini Bootcamp Course (LambdaSchool) - free and $
• Microsoft Professional Program for Artificial Intelligence - free
• Open Machine Learning Course with articles on Medium
• Machine Learning A-Z (Udemy) - Hands-On Python & R In Data Science