A Computational Approach to Statistical Learning /
A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal work...
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| Language: | eng |
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Boca Raton, FL : Taylor & Francis, CRC Press,
2019
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| _version_ | 1826467976876916736 |
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| author | Arnold, Taylor, author Kane, Michael (Michael John), author Lewis, Bryan W. (Bryan Wayne), author |
| author_facet | Arnold, Taylor, author Kane, Michael (Michael John), author Lewis, Bryan W. (Bryan Wayne), author |
| author_sort | Arnold, Taylor, author |
| collection | OCEAN |
| description | A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset. The text begins with a detailed analysis of linear models and ordinary least squares |
| first_indexed | 2024-03-05T16:11:34Z |
| format | |
| id | KOHA-OAI-TEST:553451 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T16:11:34Z |
| publishDate | 2019 |
| publisher | Boca Raton, FL : Taylor & Francis, CRC Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:5534512020-12-19T17:20:55ZA Computational Approach to Statistical Learning / Arnold, Taylor, author Kane, Michael (Michael John), author Lewis, Bryan W. (Bryan Wayne), author Boca Raton, FL : Taylor & Francis, CRC Press,2019engA Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset. The text begins with a detailed analysis of linear models and ordinary least squaresIncludes bibliographical references.Preface, 1. Introduction --2. Linear Models --3. Ridge Regression and Principal Component Analysis --4. Linear Smoothers --5. Generalized Linear Models --6. Additive Models --7. Penalized Regression Models --8. Neural Networks --9. Dimensionality Reduction --10. Computation in Practice, A Linear Algebra and matrices, B Floating Point Arithmetic and Numerical ComputationA Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset. The text begins with a detailed analysis of linear models and ordinary least squaresPSZJBL Machine learningMathematical statisticsEstimation theoryURN:ISBN:9781138046375 |
| spellingShingle | Machine learning Mathematical statistics Estimation theory Arnold, Taylor, author Kane, Michael (Michael John), author Lewis, Bryan W. (Bryan Wayne), author A Computational Approach to Statistical Learning / |
| title | A Computational Approach to Statistical Learning / |
| title_full | A Computational Approach to Statistical Learning / |
| title_fullStr | A Computational Approach to Statistical Learning / |
| title_full_unstemmed | A Computational Approach to Statistical Learning / |
| title_short | A Computational Approach to Statistical Learning / |
| title_sort | computational approach to statistical learning |
| topic | Machine learning Mathematical statistics Estimation theory |
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