Courses You MUST Take: 1. Machine Learning by Andrew Ng (https://www.coursera.org/learn/machine-learning https://www.coursera.org/learn/machine-learning) /// C

Courses You MUST Take: 1. Machine Learning by Andrew Ng (https://www.coursera.org/learn/machine-learning https://www.coursera.org/learn/machine-learning) /// Class notes: (http://holehouse.org/mlclass/index.html http://holehouse.org/mlclass/index.html) 2. Yaser Abu-Mostafa’s Machine Learning course which focuses much more on theory than the Coursera class but it is still relevant for beginners.(https://work.caltech.edu/telecourse.html https://work.caltech.edu/telecourse.html) 3. Neural Networks and Deep Learning (Recommended by Google Brain Team) (http://neuralnetworksanddeeplearning.com/ http://neuralnetworksanddeeplearning.com/) 4. Probabilistic Graphical Models (https://www.coursera.org/learn/probabilistic-graphical-models https://www.coursera.org/learn/probabilistic-graphical-model...) 4. Computational Neuroscience (https://www.coursera.org/learn/computational-neuroscience https://www.coursera.org/learn/computational-neuroscience) 5. Statistical Machine Learning (http://www.stat.cmu.edu/~larry/=sml/ http://www.stat.cmu.edu/~larry/=sml/) If you want to learn AI: https://medium.com/open-intelligence/recommended-resources-for-learning-ai-3ab4023cfa85#.1fe21r9fj https://medium.com/open-intelligence/recommended-resources-f...