Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
by Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal
Data Mining: Practical Machine Learning Tools and Techniques offers a practical introduction to data mining and machine learning tools. Written by Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, it belongs to the Morgan Kaufmann Series in Data Management Systems.
About This Book
Data Mining: Practical Machine Learning Tools and Techniques introduces the subject of data mining through a practical focus on machine learning tools and techniques.
Written by Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, the book connects data mining with applied machine learning.
It is part of the Morgan Kaufmann Series in Data Management Systems.
Reviews
No reviews yet. Be the first to review this book!