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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are ...
This handy reference to core concepts is designed to help students in courses that are a gateway to jobs in engineering and science. Students can ...
Study smarter and stay on top of your discrete mathematics course with the bestselling Schaum's Outline-now with the NEW Schaum's app and website ...
