--- product_id: 257223726 title: "Data Mining: Practical Machine Learning Tools and Techniques" price: "377961Fr" currency: BIF in_stock: true reviews_count: 5 url: https://burundi.desertcart.com/products/257223726-data-mining-practical-machine-learning-tools-and-techniques store_origin: BI region: Burundi --- # Updated with deep learning & probabilistic methods Comprehensive data mining coverage Includes cutting-edge machine learning tools Data Mining: Practical Machine Learning Tools and Techniques **Price:** 377961Fr **Availability:** ✅ In Stock ## Summary > 📚 Unlock the future of data with the ultimate machine learning playbook! ## Quick Answers - **What is this?** Data Mining: Practical Machine Learning Tools and Techniques - **How much does it cost?** 377961Fr with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [burundi.desertcart.com](https://burundi.desertcart.com/products/257223726-data-mining-practical-machine-learning-tools-and-techniques) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - • **Hands-On with WEKA Software:** Exclusive access to updated open-source machine learning toolkit from University of Waikato. - • **Master Real-World Data Mining:** Practical techniques to transform raw data into actionable insights. - • **Comprehensive Learning Support:** Includes PowerPoint slides and online resources for seamless study and teaching. - • **Stay Ahead with Latest Methods:** Fourth edition packed with new chapters on deep learning and probabilistic models. - • **Expert Authorship & Trusted Resource:** Written by leading researchers with decades of field experience. ## Overview Data Mining: Practical Machine Learning Tools and Techniques (4th Edition) is a definitive guide offering a practical, up-to-date introduction to data mining and machine learning. Featuring new chapters on deep learning and probabilistic methods, it includes the latest WEKA software and extensive teaching resources, making it an essential toolkit for professionals and students aiming to master real-world data analysis. ## Description Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at https://www.cs.waikato.ac.nz/~ml/weka/book.html. It contains Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc. Review: Four Stars - The front page is featuring wrongly as geophysics. Review: Continues to lead introductions to data mining - I've read and reviewed the 1st, 2nd and now the 4th edition. The authors are genuine experts, at the front of their fields, and by adding new contributors have been able to both update existing topics as well as add authoritative treatments of new ones. I recommend this text to anyone seeking a serious introduction to data mining. The emphasis is practical rather than theoretical, but there are pointers to the theoretical literature for those wanting them. The practical emphasis serves those wanting such, and provides motivation and context for the approach. For those with the necessary mathematical, statistical and computing background there are certainly a plethora of more advanced treatments, but Witten et.al. may well be the best available introduction to the subject for almost everyone. ## Features - NEW ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #327,153 in Books ( See Top 100 in Books ) #73 in Web Content Management #655 in Databases & Big Data #921 in Computer Software | | Customer Reviews | 4.3 out of 5 stars 114 Reviews | ## Images ![Data Mining: Practical Machine Learning Tools and Techniques - Image 1](https://m.media-amazon.com/images/I/71OKH1m3XhL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐ Four Stars *by R***N on 9 March 2018* The front page is featuring wrongly as geophysics. ### ⭐⭐⭐⭐⭐ Continues to lead introductions to data mining *by R***7 on 13 June 2017* I've read and reviewed the 1st, 2nd and now the 4th edition. The authors are genuine experts, at the front of their fields, and by adding new contributors have been able to both update existing topics as well as add authoritative treatments of new ones. I recommend this text to anyone seeking a serious introduction to data mining. The emphasis is practical rather than theoretical, but there are pointers to the theoretical literature for those wanting them. The practical emphasis serves those wanting such, and provides motivation and context for the approach. For those with the necessary mathematical, statistical and computing background there are certainly a plethora of more advanced treatments, but Witten et.al. may well be the best available introduction to the subject for almost everyone. ### ⭐⭐⭐ buen libro pero no tiene teoria *by H***O on 18 January 2018* lo compré porque pensaba que la parte de deep learning estaba bien explicada, pero es similar a las versiones anteriores, en el sentido de que es demasiado practico, lo único realmente nuevo es el capítulo 9 de metodos probabilisticos. ## Frequently Bought Together - Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) - Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://burundi.desertcart.com/products/257223726-data-mining-practical-machine-learning-tools-and-techniques](https://burundi.desertcart.com/products/257223726-data-mining-practical-machine-learning-tools-and-techniques) --- *Product available on Desertcart Burundi* *Store origin: BI* *Last updated: 2026-10-12*