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* Linear algebra: https://www.khanacademy.org/math/linear-algebra   This is a prerequisite for machine learning.   * Machine learning: https://www.coursera.org/learn/machine-learning/another ML website:https://www.youtube.com/playlist?list=PLLH73N9cB21V_O2JqILVX557BST2cqJw4  If you decide having a solid knowledge of ML, taking this course will be an efficient way to do so. During this course, the assigned `matlab` homeworks are suggested to be done for a better understanding.  another ML website:https://www.youtube.com/playlist?list=PLLH73N9cB21V_O2JqILVX557BST2cqJw4  * Deep learning with less material: http://ufldl.stanford.edu/tutorial/   If you already have some basic knowledge of machine learning and desire moving to deep learning earlier, one of a great choices is to follow this tutorial which focuses on only the prerequisite of deep learning. In addition, I also suggest you to finish the related `matlab` assignments.