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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 ...
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 ...
This updated version of Animation Maths is an accessible and practical guide to animation programming. It opens with arithmetic, solving systems and trigonometry fundamentals, then ...
The fun and easy way to understand and solve complex equations Many of the fundamental laws of physics, chemistry, biology, and economics can be formulated ...
Study smarter and stay on top of your differential equations course with the bestselling Schaum's Outline-now with the NEW Schaum's app and website ...
This survey of the most important properties of the Chebyshev polynomials encompasses several areas of mathematical analysis: interpolation theory, orthogonal polynomials, approximation theory, numerical integration ...
