Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)
Price: $69.95 - $57.99
(as of Dec 01,2024 03:44:36 UTC – Details)
Publisher : Morgan Kaufmann; 3rd edition (January 20, 2011)
Language : English
Paperback : 664 pages
ISBN-10 : 0123748569
ISBN-13 : 978-0123748560
Item Weight : 2.99 pounds
Dimensions : 7.5 x 1.25 x 9.25 inches
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In this post, we will explore the book “Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)” by Ian H. Witten, Eibe Frank, and Mark A. Hall. This comprehensive guide provides a thorough introduction to the field of data mining and machine learning, covering essential concepts, techniques, and tools for analyzing and extracting valuable insights from large datasets.
The book begins with an overview of the data mining process, including data preprocessing, exploration, modeling, evaluation, and deployment. It then delves into various machine learning algorithms, such as decision trees, rule induction, neural networks, support vector machines, and clustering techniques. Each chapter includes practical examples and case studies to help readers understand how to apply these methods in real-world scenarios.
One of the key strengths of this book is its focus on practical applications and hands-on exercises. The authors provide step-by-step instructions for using popular open-source tools, such as Weka and R, to implement machine learning algorithms and analyze data effectively. Additionally, the book covers important topics such as feature selection, ensemble methods, and handling imbalanced datasets, which are crucial for building accurate and robust models.
Whether you are a beginner looking to learn the basics of data mining or an experienced practitioner seeking to expand your knowledge and skills, “Data Mining: Practical Machine Learning Tools and Techniques” is a valuable resource that will guide you through the complexities of this rapidly evolving field. With its clear explanations, illustrative examples, and practical insights, this book is an essential reference for anyone interested in harnessing the power of data to drive business decisions and gain a competitive edge.
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