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An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics) 2023rd Edition
ZAR 1539
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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning
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What Stands Out
Product Details
- Title: An Introduction to Statistical Learning: with Applications in Python
- Part of the Springer Texts in Statistics series
- 1st edition released in 2023
- Includes applications in Python programming language
- Provides an introduction to statistical learning methods
- Suitable for those interested in data analysis and machine learning
| Item Weight | 1.4 lbs (640 grams) |
Who Should Buy?
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Beginner Students
Ideal for students new to statistical learning and looking for clear explanations and practical applications using Python.
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Data Scientists
Useful for data scientists seeking to enhance their statistical analysis skills with hands-on Python projects and exercises.
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Educators
Great resource for instructors who want a comprehensive textbook for teaching statistical learning methodologies in Python.
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Advanced Statisticians
May not meet the needs of advanced statisticians looking for in-depth theoretical insights beyond practical applications.
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Casual Readers
Not suitable for those seeking light reading; the content requires focused study and engagement with statistical concepts.
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Non-Python Users
Readers unfamiliar with Python programming may struggle to grasp the applications and examples presented throughout the book.
Product Description
An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics) 2023rd Edition
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Probability & Statistics Editorial Review
The book "An Introduction to Statistical Learning: with Applications in Python" seems to have received mixed reviews regarding its quality. While some customers are satisfied with the content, others have raised concerns about the paper quality and printing. One customer mentioned that the quality of the book did not meet their expectations. They specifically commented on the poor paper quality, stating that it was extremely bad. Furthermore, they mentioned that the book was in black and white instead of color, which may have been a disappointment for some readers. Another reviewer reported receiving a damaged copy of the book, as the binding came off as soon as they opened it. They also expressed doubts about the book's authenticity, suggesting that it may be a counterfeit version. Comparing it to other books they have from Springer, which are high-quality color prints, they found the printing quality of this particular book to be lacking. Overall, it appears that the customer experience with the physical quality of "An Introduction to Statistical Learning: with Applications in Python" has been less than satisfactory.
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Pros
- Contains valuable content on statistical learning and its applications in Python.
Cons
- Poor paper quality.
Product Price History
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ZAR 1539
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Features & Benefits
- Accessible overview of statistical learning
- Covers important modeling and prediction techniques
- Includes real-world examples
- Targeted at statisticians and non-statisticians
- Python-based alternative to ISLR
- Useful labs for novices and experienced users
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