---
product_id: 742497373
title: "Data Mining: Practical Machine Learning Tools and Techniques"
price: "HK$1265"
currency: HKD
in_stock: true
reviews_count: 5
url: https://www.desertcart.hk/products/742497373-data-mining-practical-machine-learning-tools-and-techniques
store_origin: HK
region: Hong Kong
---

# Data Mining: Practical Machine Learning Tools and Techniques

**Price:** HK$1265
**Availability:** ✅ In Stock

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- **What is this?** Data Mining: Practical Machine Learning Tools and Techniques
- **How much does it cost?** HK$1265 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.hk](https://www.desertcart.hk/products/742497373-data-mining-practical-machine-learning-tools-and-techniques)

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## Description

desertcart.co.jp: Data Mining: Practical Machine Learning Tools and Techniques : Witten, Ian H., Frank, Eibe, Hall, Mark A., Pal, Christopher J.: Foreign Language Books

Review: The front page is featuring wrongly as geophysics.
Review: 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.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Amazon Bestseller | #760,380 in Foreign Language Books ( See Top 100 in Foreign Language Books ) #322 in Library Management #340 in Information Systems #935 in Data Mining |
| Customer Reviews | 4.2 4.2 out of 5 stars (130) |
| Dimensions  | 7.5 x 1.48 x 9.25 inches |
| Edition  | 4th |
| ISBN-10  | 0128042915 |
| ISBN-13  | 978-0128042915 |
| Item Weight  | 1.05 Kilograms |
| Language  | English |
| Print length  | 654 pages |
| Publication date  | November 17, 2016 |
| Publisher  | Morgan Kaufmann |

## Images

![Data Mining: Practical Machine Learning Tools and Techniques - Image 1](https://m.media-amazon.com/images/I/31NTdU89+ZL.jpg)
![Data Mining: Practical Machine Learning Tools and Techniques - Image 2](https://m.media-amazon.com/images/I/41evz3Vai6L.jpg)
![Data Mining: Practical Machine Learning Tools and Techniques - Image 3](https://m.media-amazon.com/images/I/517c5VWd--L.jpg)
![Data Mining: Practical Machine Learning Tools and Techniques - Image 4](https://m.media-amazon.com/images/I/51GdDvwP72L.jpg)
![Data Mining: Practical Machine Learning Tools and Techniques - Image 5](https://m.media-amazon.com/images/I/51xkbNga5kL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐ Review
*by R***N on March 9, 2018*

The front page is featuring wrongly as geophysics.

### ⭐⭐⭐⭐⭐ Review
*by R***7 on June 13, 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.

### ⭐⭐⭐ Review
*by H***O on January 18, 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

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*Product available on Desertcart Hong Kong*
*Store origin: HK*
*Last updated: 2026-03-26*