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عنوان
Mathematics for machine learning /

پدید آورنده
Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong.

موضوع
Machine learning-- Mathematics.

رده
Q325
.
5

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1108679935
(Number (ISBN
9781108679930
Erroneous ISBN
9781108455145
Erroneous ISBN
9781108470049

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Mathematics for machine learning /
General Material Designation
[Book]
First Statement of Responsibility
Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
New York, NY :
Name of Publisher, Distributor, etc.
Cambridge University Press,
Date of Publication, Distribution, etc.
2020.

PROJECTED PUBLICATION DATE

Date
1912

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
Introduction and motivation -- Linear algebra -- Analytic geometry -- Matrix decompositions -- Vector calculus -- Probability and distribution -- Continuous optimization -- When models meet data -- Linear regression -- Dimensionality reduction with principal component analysis -- Density estimation with Gaussian mixture models -- Classification with support vector machines.
0

SUMMARY OR ABSTRACT

Text of Note
"The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability, and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models, and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts"--

OTHER EDITION IN ANOTHER MEDIUM

Title
Mathematics for machine learning
International Standard Book Number
9781108470049

TOPICAL NAME USED AS SUBJECT

Machine learning-- Mathematics.

DEWEY DECIMAL CLASSIFICATION

Number
006
.
3/1
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
Q325
.
5

PERSONAL NAME - PRIMARY RESPONSIBILITY

Deisenroth, Marc Peter

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Faisal, A. Aldo
Ong, Cheng Soon

ORIGINATING SOURCE

Date of Transaction
20200822151027.0
Cataloguing Rules (Descriptive Conventions))
rda

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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