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Item #:
28345936
Machine Learning Essentials: Practical Guide in R
86% of respondents would recommend this to a friend
Item #:
28345936
MAD 477
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What Stands Out
Comprehensive Insights
Offers in-depth knowledge of machine learning concepts through practical examples, making complex topics accessible for beginners and experienced users alike.
R Focused
Tailored specifically for R programming, providing extensive code examples and techniques relevant to data scientists looking to enhance their skills in this statistical language.
Real-World Applications
Includes case studies and practical projects that illustrate how to apply machine learning principles to solve real-world problems, enhancing learning and retention.
Product Details
| Publisher | CreateSpace Independent Publishing Platform |
| Publication date | March 10, 2018 |
| Language | English |
| Print length | 210 pages |
| ISBN-10 | 1986406857 |
| ISBN-13 | 978-1986406857 |
| Item Weight | 1.29 pounds (590 grams) |
| Dimensions | 8 x 0.5 x 10 inches (20.3 x 1.3 x 25.4 cm) |
Who Should Buy?
-
Beginners in ML
Ideal for those new to machine learning, providing foundational concepts and practical applications using R programming.
-
Data Scientists
A valuable resource for data scientists looking to enhance their machine learning skills specifically using the R language.
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Practical Learners
Great for individuals who prefer hands-on learning with practical examples and exercises throughout the guide.
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Advanced ML Practitioners
Not suitable for experienced machine learning professionals seeking advanced techniques or deep theoretical discussions.
Product Description
Machine Learning Essentials: Practical Guide in R
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Data Processing Editorial Review
The Machine Learning Essentials: Practical Guide in R 1st Edition is a valuable resource for anyone looking to learn and implement machine learning techniques using R. The authors provide a comprehensive overview of the fundamentals of machine learning and guide readers through the process of building and evaluating predictive models. The book also covers advanced topics such as natural language processing and deep learning. With clear explanations and hands-on examples, this book is suitable for beginners as well as experienced programmers. Overall, the Machine Learning Essentials: Practical Guide in R 1st Edition is a must-have for anyone interested in expanding their knowledge of machine learning in R.
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Pros
- Comprehensive overview of machine learning fundamentals
- Clear explanations and hands-on examples
- Suitable for beginners and experienced programmers
Cons
- No information on delivery and packaging
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