Data Mining:: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)
by Ian H. Witten, Eibe Frank, Mark A. Hall
Data Mining: Practical Machine Learning Tools and Techniques offers a practical introduction to data mining and machine learning. Written by Ian H. Witten, Eibe Frank, and Mark A. Hall, the book is part of The Morgan Kaufmann Series in Data Management Systems and suits readers exploring data-driven computing.
About This Book
Data Mining: Practical Machine Learning Tools and Techniques focuses on the relationship between data mining and machine learning.
The book presents practical tools and techniques for working with data-driven methods.
Written by Ian H. Witten, Eibe Frank, and Mark A. Hall, it belongs to The Morgan Kaufmann Series in Data Management Systems.
Its subject matter makes it relevant to readers studying computer science, data science, machine learning, and data management.
Reviews
No reviews yet. Be the first to review this book!