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Machine Learning Instructors Manual 1/10 [PDF] Machine Learning Instructors Manual Mathematics for Machine Learning-Marc Peter Deisenroth 2020-04-23 The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. Our assumption is that the reader is already familiar with the basic concepts of multivariable calculus Read stories and highlights from Coursera learners who completed Calculus and Optimization for Machine Learning and wanted to share their experience.

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