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Item #:
64172994
The Art of Machine Learning: A Hands-On Guide to Machine Learning with R
85% of respondents would recommend this to a friend
Item #:
64172994
THB 1827
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What Stands Out
Practical Approach
This guide emphasizes hands-on practice, enabling readers to gain practical skills in machine learning using R, which can be immediately applied to real-world scenarios.
Comprehensive Insights
The book offers a thorough exploration of machine learning concepts, ensuring readers build a solid foundation while tackling various algorithms systematically and effectively.
Reader-Friendly Format
Designed for all skill levels, the content is structured in a user-friendly format, making complex topics accessible, ensuring readers can grasp and implement machine learning techniques easily.
Product Details
| Publisher | No Starch Press |
| Publication date | January 9, 2024 |
| Language | English |
| Print length | 272 pages |
| ISBN-10 | 1718502109 |
| ISBN-13 | 978-1718502109 |
| Item Weight | 13 ounces (368.55 grams) |
| Dimensions | 7 x 0.64 x 9.25 inches (17.8 x 1.6 x 23.5 cm) |
Who Should Buy?
-
Beginners in ML
Ideal for newcomers to machine learning, offering fundamental concepts and practical exercises with R for better understanding.
-
R Programming Users
Perfect for users familiar with R, leveraging their skills to explore advanced machine learning techniques effectively.
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Practical Learners
Great for hands-on learners who prefer applying concepts through real-world examples and case studies within the book.
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Advanced Researchers
Not suitable for seasoned experts seeking complex theories or cutting-edge research in machine learning techniques beyond R.
Product Description
The Art of Machine Learning: A Hands-On Guide to Machine Learning with R
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AI & Machine Learning Editorial Review
The Art of Machine Learning: A Hands-On Guide to Machine Learning with R is set to be published by No Starch Press on January 9, 2024. This comprehensive guide spans 272 pages and is designed for those eager to delve into the world of machine learning utilizing the R programming language. Whether you are a beginner or looking to enhance your skills, this book is structured to provide a hands-on approach to understanding key concepts and techniques in machine learning. The book is also lightweight and portable, making it a practical choice for readers on the go.
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Pros
- Comprehensive guide for both beginners and advanced users
- Hands-on approach with practical examples
- Well-structured content for easy understanding
- Lightweight and portable for convenience
- Published by a reputable publisher, No Starch Press
Cons
- No digital edition available at launch.
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