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Mathematics for machine learning/ Marc Peter Deisenroth, A. Aldo faisal and Cheng Soon Ong

By: Contributor(s): Publication details: New Delhi: CUP, 2021Description: xvii, 371 pagesISBN:
  • 9781009108850 paper back
Subject(s): DDC classification:
  • 23 006.31015 D329
Contents:
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 --
Summary: This book focuses on Mathematics for Machine Learning that motivates people to learn mathematical concepts. It is splitted into two parts: Mathematical foundations and Example machine learning algorithms that use the mathematical foundations.
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Includes bibliographical references and index

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 --

This book focuses on Mathematics for Machine Learning that motivates people to learn mathematical concepts. It is splitted into two parts: Mathematical foundations and Example machine learning algorithms that use the mathematical foundations.

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