Statistics for machine learning : (Record no. 11072)

MARC details
000 -LEADER
fixed length control field 01583nam a22002777i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250915110229.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250722s2021 ii ao||fr|||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789388511971
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GaU‬‬
Transcribing agency EG-GaU‬‬
Modifying agency EG-GaU‬‬
Description conventions rda
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 006.31015195
Item number s.h.s.
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Singh, Himanshu,
Relator term author.
9 (RLIN) 60444
245 10 - TITLE STATEMENT
Title Statistics for machine learning :
Remainder of title implement statistical methods used in machine learning using Python /
Statement of responsibility, etc. Himanshu Singh.
250 ## - EDITION STATEMENT
Edition statement 1st edition.
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New Delhi :
Name of producer, publisher, distributor, manufacturer BPB Publications,
Date of production, publication, distribution, manufacture, or copyright notice 2021.
300 ## - PHYSICAL DESCRIPTION
Extent 278 pages :
Other physical details illustrations ;
Dimensions 24 cm.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.<br/>
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: Introduction to Statistics ‡ 2: Descriptive Statistics ‡ 3: Probability ‡ 4: Random Variables ‡ 5: Parameter Estimation ‡ 6: Hypothesis Testing ‡ 7: Analysis of Variance ‡ 8: Regression ‡ 9: Non‑Parametric Statistics ‡ 10: Data Analysis Using Python ‡ 11: Introduction to Machine Learning.<br/>
520 ## - SUMMARY, ETC.
Summary, etc. A practical guide combining statistical theory and Python applications for machine learning. Covers descriptive stats, probability, hypothesis testing, ANOVA, regression, non-parametric methods, and basic ML concepts with code examples.:contentReference[oaicite:1]{index=1}<br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics
General subdivision Study and teaching.
9 (RLIN) 60445
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistical programming
9 (RLIN) 60446
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Media and mass communication Library Media and mass communication Library 08/19/2025   006.31015195 s.h.s MA0002241 08/19/2025 C.1 08/19/2025 Books