If you’re passionate about machine learning, data science, or artificial intelligence, “Data Mining: Practical Machine Learning Tools and Techniques” by Ian H. Witten and Eibe Frank is one of the most influential textbooks you can read.

Written by experts from the Department of Computer Science, University of Waikato, this book provides a solid foundation for understanding how data can be transformed into valuable insights using practical tools and algorithms.

Data Mining: Practical Machine Learning Tools and Techniques —Download free ebook


🌟 Why This Book Is Special

This classic textbook doesn’t just explain machine learning theory — it shows you how to apply it using real-world examples and the powerful open-source tool WEKA, developed at the University of Waikato. Readers learn how to build, evaluate, and optimize models using actual datasets, making it an essential guide for:

  • Data scientists
  • Machine learning engineers
  • Students and researchers
  • Anyone exploring predictive analytics

📖 Key Highlights

  • Step-by-step introduction to data mining methods
  • Hands-on exercises with WEKA and real datasets
  • Detailed coverage of classification, clustering, and feature selection
  • Practical advice for model evaluation and data preprocessing

💡 Ideal For

Whether you’re a beginner in data mining or a professional looking to strengthen your ML fundamentals, this book gives you both theory and hands-on experience in one comprehensive guide.

📖 What You’ll Learn

  • The principles behind classification, clustering, and regression
  • Data preprocessing and feature engineering
  • How to evaluate and compare machine learning models
  • Hands-on examples using WEKA and real datasets

🎯 Perfect For:

  • Students studying AI, Data Science, or Computer Engineering
  • Researchers exploring pattern recognition or predictive analytics
  • Professionals who want to apply ML techniques to real-world data

🧠 About the Authors

  • Ian H. Witten, Professor, Department of Computer Science, University of Waikato
  • Eibe Frank, Senior Lecturer, Department of Computer Science, University of Waikato


📥 Download the Book

Ready to dive into the world of data mining?


👉 Download Data Mining: Practical Machine Learning Tools and Techniques (PDF)