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Tiffany Timbers is an Assistant Professor of Teaching in the Department of Statistics and Co-Director for the Master of Data Science program (Vancouver Option) at the University of British Columbia.
Trevor Campbell is an Assistant Professor in the Department of Statistics at the University of British Columbia.
Melissa Lee is an Assistant Professor of Teaching in the Department of Statistics at the University of British Columbia
1. R and the tidyverse, 2. Reading in data locally and from the web, 3. Cleaning and wrangling data, 4. Effective data visualization, 5. Classification I: training & predicting, 6. Classification II: evaluation & tuning, 7. Regression I: K-nearest neighbors, 8. Regression II: linear regression, 9. Clustering, 10. Statistical inference, 11. Combining code and text with Jupyter, 12. Collaboration with version control, 13. Setting up your computer
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 456 |
| ISBN-13: | 9780367524685 |
| ISBN-10: | 0367524686 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Timbers, Tiffany
Campbell, Trevor Lee, Melissa |
| Hersteller: |
Taylor & Francis
Chapman and Hall/CRC |
| Abbildungen: | 8 Tables, color; 124 Line drawings, color; 95 Halftones, color; 219 Illustrations, color |
| Maße: | 248 x 174 x 22 mm |
| Von/Mit: | Tiffany Timbers (u. a.) |
| Erscheinungsdatum: | 15.07.2022 |
| Gewicht: | 0,89 kg |
Tiffany Timbers is an Assistant Professor of Teaching in the Department of Statistics and Co-Director for the Master of Data Science program (Vancouver Option) at the University of British Columbia.
Trevor Campbell is an Assistant Professor in the Department of Statistics at the University of British Columbia.
Melissa Lee is an Assistant Professor of Teaching in the Department of Statistics at the University of British Columbia
1. R and the tidyverse, 2. Reading in data locally and from the web, 3. Cleaning and wrangling data, 4. Effective data visualization, 5. Classification I: training & predicting, 6. Classification II: evaluation & tuning, 7. Regression I: K-nearest neighbors, 8. Regression II: linear regression, 9. Clustering, 10. Statistical inference, 11. Combining code and text with Jupyter, 12. Collaboration with version control, 13. Setting up your computer
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 456 |
| ISBN-13: | 9780367524685 |
| ISBN-10: | 0367524686 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Timbers, Tiffany
Campbell, Trevor Lee, Melissa |
| Hersteller: |
Taylor & Francis
Chapman and Hall/CRC |
| Abbildungen: | 8 Tables, color; 124 Line drawings, color; 95 Halftones, color; 219 Illustrations, color |
| Maße: | 248 x 174 x 22 mm |
| Von/Mit: | Tiffany Timbers (u. a.) |
| Erscheinungsdatum: | 15.07.2022 |
| Gewicht: | 0,89 kg |
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