• Home
  • Advanced Search
  • Directory of Libraries
  • About lib.ir
  • Contact Us
  • History

عنوان
Introduction to algorithms for data mining and machine learning /

پدید آورنده
Xin-She Yang.

موضوع
Data mining-- Mathematics.,Machine learning-- Mathematics.,COMPUTERS-- General.

رده
Q325
.
5
.
Y36
2019eb

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
0128172177
(Number (ISBN
9780128172179
Erroneous ISBN
0128172169
Erroneous ISBN
9780128172162

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Introduction to algorithms for data mining and machine learning /
General Material Designation
[Book]
First Statement of Responsibility
Xin-She Yang.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
San Diego, CA, United States :
Name of Publisher, Distributor, etc.
Academic Press, an imprint of Elsevier,
Date of Publication, Distribution, etc.
[2019]

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (viii, 173 pages) :
Other Physical Details
illustrations

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references (pages 163-170) and index.

CONTENTS NOTE

Text of Note
Introduction to optimization -- Mathematical foundations -- Optimization algorithms -- Data fitting and regression -- Logistic regression, PCA, LDA, and ICA -- Data mining techniques -- Support vector machine and regression -- Neural networks and deep learning.
0

SUMMARY OR ABSTRACT

Text of Note
Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Ingram Content Group
Stock Number
9780128172179

OTHER EDITION IN ANOTHER MEDIUM

Title
Introduction to algorithms for data mining and machine learning.
International Standard Book Number
0128172169

TOPICAL NAME USED AS SUBJECT

Data mining-- Mathematics.
Machine learning-- Mathematics.
COMPUTERS-- General.

(SUBJECT CATEGORY (Provisional

COM-- 000000

DEWEY DECIMAL CLASSIFICATION

Number
006
.
312
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
Q325
.
5
Class number
QA76
.
9
.
D343
Book number
.
Y36
2019eb
Book number
Y36
2019e

PERSONAL NAME - PRIMARY RESPONSIBILITY

Yang, Xin-She

ORIGINATING SOURCE

Date of Transaction
20200822085250.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

Proposal/Bug Report

Warning! Enter The Information Carefully
Send Cancel
This website is managed by Dar Al-Hadith Scientific-Cultural Institute and Computer Research Center of Islamic Sciences (also known as Noor)
Libraries are responsible for the validity of information, and the spiritual rights of information are reserved for them
Best Searcher - The 5th Digital Media Festival