Data science in practice (Record no. 7548)

MARC details
000 -LEADER
fixed length control field 01938nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241108122613.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241108b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032505268
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number ALB
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Alby, Tom
245 ## - TITLE STATEMENT
Title Data science in practice
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. CRC Press
Place of publication, distribution, etc. Boca Raton
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 301 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 56.99
490 ## - SERIES STATEMENT
Series statement Data Science Series
520 ## - SUMMARY, ETC.
Summary, etc. Data Science in Practice is the ideal introduction to data science. With or without math skills, here, you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis. Associated tools like notebooks that make data science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application, and does not forget to address ethical aspects. Data Science in Practice includes many examples, notes on errors, decision-making aids, and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles.<br/><br/> <br/><br/>Key Features:<br/><br/><br/>Success factors and tools for all project phases<br/><br/>Includes application examples for various subject areas<br/>Introduces many aspects of Data Science, from requirements analysis to data acquisition and visualization<br/><br/>(https://www.routledge.com/Data-Science-in-Practice/Alby/p/book/9781032505268?srsltid=AfmBOopXHW5V5lU6puVznrWHRDZvHvGI4EVNsuKlCGls54jDvIc-Ud-g)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
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 Total Renewals 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 COR/IN/25/6570 25-10-2024 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 11/08/2024 CBS Publishers & Distributors Pvt. Ltd. 4282.23 1 1 006.31 ALB 006364 12/16/2024 11/16/2024 1 6588.04 11/08/2024 Book

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