Statistics
Probability and Statistics for Data Science
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Product Description
This accessible book for graduate students and data scientists provides a solid background in probabilistic and statistical concepts relevant to data science. Emphasis is placed on practice, with examples throughout using real-world data that readers can implement from Python code available on the book's website.
Product description Review Select Guide Rating Book Description A self-contained introduction to probability and statistics for data science with examples involving real-world datasets. About the Author Carlos Fernandez-Granda is Associate Professor of Mathematics and Data Science at New York University, where he has taught probability and statistics to data science students since 2015. The goal of his research is to design and analyze data science methodology, with a focus on machine learning, artificial intelligence, and their application to medicine, climate science, biology, and other scientific domains. Read more
Book Specifications
| ISBN-13 | 9781009180092 |
| ISBN-10 | 1009180096 |
| Publisher | Cambridge University Press |
| Language | English |
| Dimensions | 17.78 x 3.58 x 25.4 cm |
| Weight | 1 kg 130 g |
| Country | India |
| Category | Mathematics › Statistics |
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