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Absolutely a must for anyone thinking of learning Machine Learning. It requires basic calculus and theory of probability knowledge, programming experience (any language, but Matlab or R or Python are better choices), and a lot of attention and time spent on its materials and homeworks. The book by professor Yaser Abu-Mostafa et al. is very helpful resource (Learning From Data, A Short Course). Expect spending at least 5-7 hours per week or more depending on your background. This is very different from other Machine Learning courses that immediately focus on practical aspects of the subject. Learning From Data starts with founding concepts of Machine Learning as mathematical and statistical problem, and gradually introduces to algorithms without loosing its focus on the principles built. I consider both its approach and materials the most sound introductory course in Machine Learning available.