Mathematics for Machine Learning

Deisenroth Marc Peter

Mathematics for Machine Learning English Marc Peter Deisenroth - UK Cambridge University 2021 - v, 371 p. , soft bound 18x25.5 cm

Part I: Mathematical Foundations
Introduction and Motivation
Linear Algebra
Analytic Geometry
Matrix Decompositions
Vector Calculus
Probability and Distribution
Continuous Optimization
Part II: Central Machine Learning Problems

When Models Meet Data
Linear Regression
Dimensionality Reduction with Principal Component Analysis
Density Estimation with Gaussian Mixture Models
Classification with Support Vector Machines
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978-1-108-45514-5

006.31 / DEI

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