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Practical Machine Learning with R and Python: Third Edition: Machine Learning in Stereo
87% of respondents would recommend this to a friend
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This book should serve as a useful and handy reference for Machine Learning algorithms in both R and Python.
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What Stands Out
Product Details
| Publisher | Independently published |
| Publication date | January 1, 2019 |
| Language | English |
| Print length | 276 pages |
| ISBN-10 | 1792969309 |
| ISBN-13 | 978-1792969300 |
| Item Weight | 1.1 pounds (500 grams) |
| Dimensions | 7.44 x 0.63 x 9.69 inches (18.9 x 1.6 x 24.6 cm) |
Who Should Buy?
-
Beginner Data Scientists
Ideal for newcomers to machine learning, providing foundational knowledge using both R and Python programming.
-
Academic Students
Great for students in data science courses who need practical examples and exercises in their curriculum.
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Practical Analysts
Suitable for analysts looking to implement machine learning models in real-world applications using popular programming languages.
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Advanced Practitioners
Experienced data scientists may find the content too basic and not sufficiently challenging or advanced.
Product Description
Practical Machine Learning with R and Python: Third Edition: Machine Learning in Stereo
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Pros
- High-quality performance
- User-friendly design
- Durable build
- Excellent customer support
- Versatile features
Cons
- A bit heavy to carry around.
Product Price History
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Features & Benefits
- Third edition offers updated content and code.
- Covers a wide range of Machine Learning algorithms.
- Provides R and Python implementations side-by-side.
- Includes essential programming concepts for beginners.
- Serves as a handy reference for both novices and experts.
- Focuses on practical applications with detailed examples.
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