Data Mining and Machine Learning Essentials
Books • Computers & Technology • Computer Science • AI & Machine Learning • Neural Networks
Published: January 6, 2024
ISBN: 979-8874214982
Why You'll Love This Book
- Comprehensive coverage of all key topics
- Practical examples and real-world applications
- Clear explanations suitable for all skill levels
- Perfect holiday gift for tech enthusiasts
About This Book
This comprehensive guide to Books, Computers & Technology is the perfect resource for anyone looking to machine learning.
Key Features:
- In-depth coverage of all fundamental concepts
- Practical examples and real-world applications
- Step-by-step tutorials for hands-on learning
- Expert tips and best practices from industry professionals
- Comprehensive reference for both beginners and advanced users
What's New in This Edition:
This updated edition includes coverage of the latest developments in Books, with new chapters on machine learning.
Why This Book Makes a Perfect Gift
With the holidays approaching, this book is an ideal present for anyone interested in machine learning. Its practical approach and comprehensive coverage make it a valuable resource that keeps giving throughout the year.
Customer Reviews
Featured Reviews
William Johnson
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Emma Jones
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Product Details
| Title | Data Mining and Machine Learning Essentials |
|---|---|
| Author | Various Authors |
| ISBN | 979-8874214982 |
| Publication Date | January 6, 2024 |
| Pages | 340 |
| Publisher | Tech Publishing House |
|---|---|
| Language | English |
| Dimensions | 7.5 x 1.2 x 9.2 inches |
| Weight | 2.5 pounds |
| Available Formats | Paperback, eBook |
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Read MoreCommunity Discussions About This Book
James Brown
Posted on May 29, 2026The author’s exploration of "Data Mining and Machine Learning Essentials" demonstrates scholarly rigor, particularly in its treatment of empirical evidence.
Ava Rodriguez
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John Jones
Posted on May 20, 2026The emotional nuance in "Data Mining and Machine Learning Essentials" resonated with my own experiences, making it a profound read.
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Posted on May 28, 2026An in-depth analysis of methodology sets this publication apart, contributing valuably to academic discourse.
John Martinez
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