Intelligent techniques for data science (Record no. 30056)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200603b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319292052
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.42
Item number AKE
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Akerkar, Rajenndra
245 ## - TITLE STATEMENT
Title Intelligent techniques for data science
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer
Date of publication, distribution, etc 2016
Place of publication, distribution, etc Switzerland
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 272 p.
Other physical details ill. (Some col.)
Dimensions 24 cm.
365 ## - TRADE PRICE
Price amount 74.99
Price type code EUR
Unit of pricing 86.10
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references.
520 ## - SUMMARY, ETC.
Summary, etc This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions. The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
Topical term or geographic name as entry element Intelligent techniques
Topical term or geographic name as entry element Data science
Topical term or geographic name as entry element Computer science
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Sajja, Priti Srinivas
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2020-05-29 001.42 AKE 032312 2020-06-03 Books

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