A hands-on introduction to data science (Record no. 4124)

MARC details
000 -LEADER
fixed length control field 02235nam a22002057a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221205124419.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221205b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108472449
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004
Item number SHA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Shah, Chirag
245 ## - TITLE STATEMENT
Title A hands-on introduction to data science
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Cambridge University Press
Place of publication, distribution, etc. UK
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xxiii, 433 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 39.99
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Frontmatter <br/>Part I: - Conceptual Introductions<br/><br/>pp 1-2<br/>1 - Introduction<br/><br/>pp 3-36<br/>2 - Data<br/><br/>pp 37-65<br/>3 - Techniques<br/><br/>pp 66-96<br/>Part II: - Tools for Data Science<br/><br/>pp 97-98<br/>4 - UNIX<br/><br/>pp 99-124<br/>5 - Python<br/><br/>pp 125-160<br/>6 - R<br/><br/>pp 161-186<br/>7 - MySQL<br/><br/>pp 187-206<br/>Part III: - Machine Learning for Data Science<br/><br/>pp 207-208<br/>8 - Machine Learning Introduction and Regression<br/><br/>pp 209-234<br/>9 - Supervised Learning<br/><br/>pp 235-289<br/>10 - Unsupervised Learning<br/><br/>pp 290-318<br/>Part IV: - Applications, Evaluations, and Methods<br/><br/>pp 319-320<br/>11 - Hands-On with Solving Data Problems<br/><br/>pp 321-353<br/>12 - Data Collection, Experimentation, and Evaluation<br/><br/>pp 354-378<br/>Appendices<br/><br/>pp 379-417<br/>Index
520 ## - SUMMARY, ETC.
Summary, etc. Description<br/>This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information technology
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 Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences IN201 17-11-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 12/05/2022 Bharatiya Sahitya Bhavana 2576.76   004 SHA 003873 12/05/2022 1 3919.02 12/05/2022 Book

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

Powered by Koha