Mathematics for Machine Learning Marc Peter Deisenroth English

By:

Deisenroth Marc Peter

Material type: Text

TextPublication details: UK Cambridge University 2021Description: v, 371 p. , soft bound 18x25.5 cmISBN:

978-1-108-45514-5

DDC classification:

23 006.31 DEI

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 Report errata and feedback.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Tetso College Library Mathematics	Non-fiction	006.31 DEI (Browse shelf(Opens below))	Available		13992

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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
Report errata and feedback.

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