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Numerical Analysis Meets Machine Learning series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is wr
Mathematics for Machine Learning
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Type: BOOK - Published: 2020-04-23 - Publisher: Cambridge University Press

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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti
Numerical Algorithms
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Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists.
Algorithms for a New World
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Covid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future scenarios. Algorithms, a
Advances in Numerical Methods for Hyperbolic Balance Laws and Related Problems
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A broad range of phenomena in science and technology can be described by non-linear partial differential equations characterized by systems of conservation laws