Cover of Data Mining

Data Mining

Practical Machine Learning Tools and Techniques
Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal
Publisher: Morgan Kaufmann
Published: 2016
ISBN-13: 9780128043578
ISBN-10: 0128043571
Pages: 654
Subjects: Computers / Artificial Intelligence / General, Computers / Database Administration & Management
1 study resource available for this textbook

About Data Mining

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 resea...

What is Scholarfriends

Scholarfriends.com Online Platform by Browsegrades Inc. 651N South Broad St, Middletown DE. United States.

We are here to help

We're available through e-mail, Twitter, and live chat.
 FAQ
 Questions? Leave a message!


Copyright © Scholarfriends · High quality services·