An Introduction to Statistical Learning - with Applications in R
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Summary
Key Facts and Insights from "An Introduction to Statistical Learning - with Applications in R"
- Emphasis on Statistical Learning: The book focuses on statistical learning, a field that intersects with data science, statistics, and machine learning.
- Practical Applications: The book uses R, a popular programming language for data analysis, to demonstrate the concepts.
- Comprehensive Coverage: The book covers a wide range of concepts, from simple linear regression to more complex machine learning algorithms.
- In-depth Explanation: The authors provide detailed explanations and derivations of all significant algorithms and concepts.
- Real-World Examples: The book uses real-world datasets to illustrate the application...
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