You might also like

More about Data Mining

• Book details
• Synopsis
• Trending among others

You get 165 loyalty points

Book synopsis

Data Mining: Practical Machine Learning Tools and Techniques, Fourth 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 fourth 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 substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal 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 projectsPresents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methodsIncludes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interfaceIncludes open-access online courses that introduce practical applications of the material in the book

Book details

Book category Books in English Computing & information technology Databases Data mining

• Full title: Data Mining
• Subtitle: Practical Machine Learning Tools and Techniques
• Author: Ian Witten, Eibe Frank, Mark Hall, Christopher Pal
• Language: English
• Binding: Paperback
• Number of pages: 654
• EAN: 9780128042915
• ISBN: 0128042915
• ID: 12496219
• Publisher: Elsevier Science & Technology
• Weight: 1348 g
• Dimensions: 234 × 190 × 28 mm
• Date of publishing: 15. February 2011

Trending among others

---

---

---