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Practical Statistics for Data Scientists, 2e: 50+ Essential Concepts Using R and Python
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Product Details
| Publisher | Ou2032Reilly |
| Publication date | 29 Jun. 2020 |
| Edition | 2nd |
| Language | English |
| Print length | 360 pages |
| ISBN-10 | 149207294X |
| ISBN-13 | 978-1492072942 |
| Item weight | 612 g |
| Dimensions | 17.78 x 2.29 x 23.11 cm |
Product Description
Practical Statistics for Data Scientists, 2e: 50+ Essential Concepts Using R and Python
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Data Mining Editorial Review
Practical Statistics For Data Scientists, 2e 50+ Essential Concepts Using R And Python is a comprehensive guide that effectively introduces fundamental data science concepts from traditional statistics to machine learning models. The book is well-organized into digestible sections, with practical examples in both R and Python, which enhance understanding. Readers have noted the high-quality writing and the clarity of explanations, making it a valuable resource for anyone looking to fill gaps in their statistical knowledge. However, some commenters expressed a desire for more real-life examples and practical applications, particularly for complex concepts. The coverage of basic statistics as well as classification and regression tasks adds depth to the learning experience, but may feel repetitive for advanced users familiar with other materials.
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Pros
- Well-written and easy to understand for beginners.
- Covers fundamental concepts relevant to data science.
- Explains topics with practical examples using R and Python.
- Organized structure makes it easy to follow.
- Good resource for filling statistical knowledge gaps.
Cons
- Could benefit from more practical examples for complex concepts.
Product Price History
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