Mathematics for Machine Learning
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TOTAL DOCUMENTS

15

(FIVE YEARS 15)

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0

(FIVE YEARS 0)

Published By Cambridge University Press

9781108679930, 9781108470049, 9781108455145

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Dimensionality Reduction with Principal Component Analysis

Mathematics for Machine Learning ◽

10.1017/9781108679930.012 ◽

2020 ◽

pp. 286-313

Keyword(s):

Principal Component Analysis ◽

Dimensionality Reduction ◽

Principal Component ◽

Component Analysis

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Density Estimation with Gaussian Mixture Models

Mathematics for Machine Learning ◽

10.1017/9781108679930.013 ◽

2020 ◽

pp. 314-334

Keyword(s):

Mixture Models ◽

Density Estimation ◽

Gaussian Mixture Models ◽

Gaussian Mixture

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Linear Regression

Mathematics for Machine Learning ◽

10.1017/9781108679930.011 ◽

2020 ◽

pp. 260-285

Keyword(s):

Linear Regression

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When Models Meet Data

Mathematics for Machine Learning ◽

10.1017/9781108679930.010 ◽

2020 ◽

pp. 225-259

Keyword(s):

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Analytic Geometry

Mathematics for Machine Learning ◽

10.1017/9781108679930.005 ◽

2020 ◽

pp. 57-81

Keyword(s):

Analytic Geometry

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Linear Algebra

Mathematics for Machine Learning ◽

10.1017/9781108679930.004 ◽

2020 ◽

pp. 8-56

Keyword(s):

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Preface

Mathematics for Machine Learning ◽

10.1017/9781108679930.001 ◽

2020 ◽

pp. xi-xiv

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Index

Mathematics for Machine Learning ◽

10.1017/9781108679930.015 ◽

2020 ◽

pp. 367-372

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Vector Calculus

Mathematics for Machine Learning ◽

10.1017/9781108679930.007 ◽

2020 ◽

pp. 120-151

Keyword(s):

Vector Calculus

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Matrix Decompositions

Mathematics for Machine Learning ◽

10.1017/9781108679930.006 ◽

2020 ◽

pp. 82-119

Keyword(s):

Matrix Decompositions

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