Data Mining: Practical Machine Learning Tools And Techniques (Record no. 51845)

MARC details
000 -LEADER
fixed length control field 01710 a2200217 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251017231004.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780443158889
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74 WIT
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Witten, Ian H.
245 ## - TITLE STATEMENT
Title Data Mining: Practical Machine Learning Tools And Techniques
250 ## - EDITION STATEMENT
Edition statement 5
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Elsevier, Morgan Kaufmann
Place of publication, distribution, etc Cambrige
Date of publication, distribution, etc 2016
300 ## - PHYSICAL DESCRIPTION
Extent 760
520 ## - SUMMARY, ETC.
Summary, etc Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.<br/><br/>Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on topics such as generative AI (GANs, VAEs, diffusion models), large language models (transformers, BERT and GPT models), and adversarial examples, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new author James R. Foulds, include today's techniques coupled with the methods at the leading edge of contemporary research
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Mining
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Frank, Eibe
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hall, Mark A
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Pal, Christopher J
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.