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Item #:
7035406
Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)
Item #:
7035406
ISK 4769
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What Stands Out
Comprehensive Tools
This edition offers an extensive range of practical machine learning tools, ensuring readers gain a strong, hands-on understanding of data mining applications and techniques suitable for various real-world scenarios.
Updated Content
The third edition features the latest advancements and trends in data mining and machine learning, keeping readers informed with contemporary methods that enhance their data analysis capabilities.
User-Friendly Approach
Designed for both beginners and advanced users, this book simplifies complex concepts with clear examples and practical exercises, making it accessible while fostering deeper learning in data management.
Product Details
| Publisher | Morgan Kaufmann |
| Publication date | January 20, 2011 |
| Edition | 3rd |
| Language | English |
| Print length | 664 pages |
| ISBN-10 | 0123748569 |
| ISBN-13 | 978-0123748560 |
| Item Weight | 2.99 pounds (1.36 kg) |
| Dimensions | 7.5 x 1.25 x 9.25 inches (19.1 x 3.2 x 23.5 cm) |
| Part of series | The Morgan Kaufmann Series in Data Management Systems |
Who Should Buy?
-
Aspiring Data Scientists
Perfect for those looking to understand practical applications of machine learning and data mining techniques.
-
Academic Researchers
Beneficial for researchers who need comprehensive insights and methodologies in data mining for academic projects.
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Industry Professionals
Great for professionals applying machine learning in their work, offering practical tools and real-world examples.
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Complete Beginners
Not suitable for individuals without prior knowledge in data mining or machine learning concepts.
Product Description
Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)
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Intelligence & Semantics Editorial Review
The "Data Mining: Practical Machine Learning Tools and Techniques" book is an excellent resource for those who are interested in learning about machine learning. The book is well structured and well written, with a comprehensible language that is easy to understand. The book is a great tool for individuals who are new to data mining and machine learning as it provides both practical tools and techniques. It covers Weka in particular, which is a data mining tool that allows machine learning algorithms to be applied to data sets. Overall, the book provides a great foundation for individuals who are interested in learning about machine learning and data mining.
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Pros
- Well-written and structured book
- Provides practical tools and techniques for data mining and machine learning
- Great resource for individuals new to data mining and machine learning
- Covers Weka, a popular data mining tool
Cons
- Meanders a bit in places
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ISK 4769
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