Data science and machine learning in R (Record no. 2611)

MARC details
000 -LEADER
fixed length control field 01808nam a22002057a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220628174040.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220628b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789354600333
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number THA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Thareja, Reema
245 ## - TITLE STATEMENT
Title Data science and machine learning in R
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. McGraw Hill Education (India) Pvt. Ltd.
Place of publication, distribution, etc. Chennai
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xxiii, 472 p.
365 ## - TRADE PRICE
Price type code INR
Price amount 595.00
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Chapter 1: Introduction to Data Sciences and Machine Learning Chapter 2: Machine Learning Algorithms <br/>Chapter 3: Machine Learning Algorithms - II <br/>Chapter 4: Introduction to R<br/>Chapter 5: More on Data Structures <br/>Chapter 6: Decision Control and Looping Statements <br/>Chapter 7: Generating and Manipulating Data in R Chapter <br/>8: Working with Data Chapter <br/>9: Using dplyr () and tidyr () packages Chapter <br/>10: Plotting graphs in R Chapter <br/>11: Social Media Mining Chapter <br/>12: Implementing Machine Learning Algorithms Chapter <br/>13: Implementing Machine Learning Algorithms - II Index Online Content Appendices Case Studies<br/>
520 ## - SUMMARY, ETC.
Summary, etc. OVRERVIEW<br/><br/><br/>The book has been designed keeping in mind the needs of the beginners of this subject area while having no prior knowledge in this field. It is aimed to be used as a textbook for undergraduate and postgraduate students. However, it can also be used by research scholars and professionals. The text introduces the concepts of R programming language in a lucid way and enables the reader to use these to perform data science and machine learning applications for solving real-world problems. Every chapter in this book contains multiple programming exercises and examples that enhance the understanding of the subject.<br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Date checked out Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences TB608 04-06-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 06/28/2022 Technical Bureau India Pvt. Ltd. 416.50 1 006.31 THA 002474 04/18/2023 02/20/2023 1 595.00 06/28/2022 Book

©2019-2020 Learning Resource Centre, Indian Institute of Management Bodhgaya

Powered by Koha