Code: 46233238

Data Mining

Name: Data Mining
Brand: Elsevier Science
SKU: 46233238
Price: 80.26 EUR
Availability: InStock
Author: James Foulds
ISBN: 9780443158889

by James Foulds, Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal

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 si ... more

Language: English
Binding: Paperback
Number of pages: 688
Publisher: Elsevier Science, 2025
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Book synopsis

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. 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 such topics as GANs, transformers, BERT, GPT, VAE, adversarial examples, pre-training and fine-tuning, 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.

Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Features in-depth information on probabilistic models and deep learning
Provides an introduction to the Weka machine learning workbench and links to algorithm implementations in the software
Covers performance improvement techniques, including input preprocessing and combining output from different methods

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

80.26 €

Full title: Data Mining
Subtitle: Practical Machine Learning Tools and Techniques
Author: James Foulds, Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal
Language: English
Binding: Paperback
Number of pages: 688
EAN: 9780443158889
ISBN: 0443158886
ID: 46233238
Publisher: Elsevier Science
Weight: 1532 g
Dimensions: 235 × 191 mm
Date of publishing: 01. March 2025