Guide to intelligent data science: how to intelligently make use of real data (Record no. 2638)

MARC details
000 -LEADER
fixed length control field 01830nam a22002657a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220629131359.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220629b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030455736
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Item number BER
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Berthold, Michael R.
245 ## - TITLE STATEMENT
Title Guide to intelligent data science: how to intelligently make use of real data
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Springer
Place of publication, distribution, etc. Switzerland
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 420 p.
365 ## - TRADE PRICE
Price type code EURO
Price amount 79.99
520 ## - SUMMARY, ETC.
Summary, etc. About this book<br/>Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results.<br/><br/>Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics--Data processing
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 Big data
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Borgelt, Christian
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hoppner, Frank
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Klawonn, Frank
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 TB608 04-06-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 06/29/2022 Technical Bureau India Pvt. Ltd. 4523.03   519.5 BER 002496 06/29/2022 1 6879.14 06/29/2022 Book

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