MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02046cam a22002778i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
21356158 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
ZET-ke |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20220125104708.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
200107s2020 enk b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2019044741 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781108472449 |
| Qualifying information |
(hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
9781108560412 |
| Qualifying information |
(epub) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| Modifying agency |
ZET-ke |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9 |
| Item number |
.S53 2020 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Shah, Chirag, |
| Relator term |
author. |
| 245 12 - TITLE STATEMENT |
|---|
| Title |
A hands-on introduction to data science / |
| Statement of responsibility, etc |
Chirag Shah, Rutgers University, New Jersey. |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
2001 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
pages cm |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Conceptual introductions -- Tools for data science -- Machine learning for data science -- Applications, evaluations, and methods. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"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 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer science. |
| 9 (RLIN) |
1224 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Information technology. |
| 9 (RLIN) |
931 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Online version: |
| Title |
A hands-on introduction to data science |
| Edition |
1. |
| Place, publisher, and date of publication |
New York : Cambridge University Press, 2019. |
| International Standard Book Number |
9781108560412 |
| Record control number |
(DLC) 2019044742 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Books |
| Call number prefix |
QA76.9 |
| Call number suffix |
.S53 2020 |
