--- product_id: 257223726 title: "Data Mining: Practical Machine Learning Tools and Techniques" price: "₹ 571" currency: INR in_stock: true reviews_count: 5 url: https://www.desertcart.in/products/257223726-data-mining-practical-machine-learning-tools-and-techniques store_origin: IN region: India --- # Comprehensive data mining coverage Updated expert insights Practical machine learning tools Data Mining: Practical Machine Learning Tools and Techniques **Price:** ₹ 571 **Availability:** ✅ In Stock ## Summary > 📈 Unlock the power 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?** ₹ 571 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.in](https://www.desertcart.in/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 - • **Authored by Leading Experts:** Insights from pioneers shaping the future of machine learning. - • **Continuously Updated Content:** Latest edition includes fresh contributors and cutting-edge topics. - • **Trusted by Thousands Globally:** 4.2-star rating with over 100 reviews proves its industry relevance. - • **Master Data Mining Fundamentals:** A definitive guide for professionals diving into data-driven decision making. - • **Stay Ahead with Practical Tools:** Hands-on techniques that bridge theory and real-world applications. ## Overview Data Mining: Practical Machine Learning Tools and Techniques is a top-ranked, expert-authored book offering a practical introduction to data mining and machine learning. With updated content and hands-on approaches, it serves as an essential resource for professionals seeking to harness data insights effectively. ## Description Buy Data Mining: Practical Machine Learning Tools and Techniques by Witten, Ian H., Frank, Eibe, Hall, Mark A., Pal, Christopher J. online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase. 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 | #210,013 in Books ( See Top 100 in Books ) #41 in Web Content Management #396 in Databases & Big Data #542 in Computer Software | | Customer Reviews | 4.2 out of 5 stars 112 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://www.desertcart.in/products/257223726-data-mining-practical-machine-learning-tools-and-techniques](https://www.desertcart.in/products/257223726-data-mining-practical-machine-learning-tools-and-techniques) --- *Product available on Desertcart India* *Store origin: IN* *Last updated: 2026-05-24*