Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
Price: $69.95 - $57.74
(as of Nov 23,2024 09:50:47 UTC – Details)
Publisher : Morgan Kaufmann; 4th edition (December 1, 2016)
Language : English
Paperback : 654 pages
ISBN-10 : 0128042915
ISBN-13 : 978-0128042915
Item Weight : 2.31 pounds
Dimensions : 7.4 x 1.1 x 9.2 inches
Customers say
Customers find the content good, comprehensive, and instructive. They also say the information is good and includes practical descriptions and examples. Opinions differ on readability, with some finding it hard to follow for regular readers and others saying the equations are tiny and unreadable.
AI-generated from the text of customer reviews
In this post, we will be discussing the book “Data Mining: Practical Machine Learning Tools and Techniques” from the Morgan Kaufmann Series in Data Management Systems.
This comprehensive book, written by Ian H. Witten, Eibe Frank, and Mark A. Hall, provides a thorough overview of data mining and machine learning techniques. It covers a wide range of topics, including data preprocessing, classification, clustering, association rule mining, and more.
The authors have taken a practical approach to explain complex concepts, making it easier for readers to understand and apply the techniques in real-world scenarios. The book also includes case studies and practical examples to help readers gain a better understanding of how these techniques can be used in different industries.
Whether you are a beginner or an experienced data scientist, this book is a valuable resource that will help you enhance your skills and knowledge in the field of data mining and machine learning. So, if you are looking to master the latest tools and techniques in data mining, be sure to check out this book from the Morgan Kaufmann Series in Data Management Systems.
#Data #Mining #Practical #Machine #Learning #Tools #Techniques #Morgan #Kaufmann #Series #Data #Management #Systems
