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 |