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Mathematics and R programming for machine learning : from the ground up / / William B. Claster
| Mathematics and R programming for machine learning : from the ground up / / William B. Claster |
| Autore | Claster William B. |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, , 2020 |
| Descrizione fisica | 1 online resource (431 pages) |
| Disciplina | 519.502855133 |
| Soggetto topico | R (Computer program language) |
| ISBN |
1-00-305122-7
1-000-19699-2 1-003-05122-7 1-000-19697-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Chapter 1. Functions Tutorial. Chapter 2. Logic and R. Chapter 3. Sets with R: Building the Tools. Chapter 4. Probability. Chapter 5. Naïve Rule. Chapter 6. Complete Bayes. Chapter 7. Naïve Bayes Classifier. Chapter 8. Stored Model for Naive Bayes Classifier. Chapter 9. Review of Mathematics for Neural Networks. Chapter 10. Calculus. Chapter 11. Neural Networks -- Feed Forward Process and Back Propagation Process. Chapter 12. Programming a Neural Network using OOP in R. Chapter 13. Adding in a Bias Term. Chapter 14. Modular Version of Neural Networks for Deep Learning. Chapter 15. Deep Learning with Convolutional Neural Networks. Chapter 16. R Packages for Neural Networks, Deep Learning, and Naïve Bayes. |
| Record Nr. | UNINA-9910794321703321 |
Claster William B.
|
||
| Boca Raton, FL : , : CRC Press, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mathematics and R programming for machine learning : from the ground up / / William B. Claster
| Mathematics and R programming for machine learning : from the ground up / / William B. Claster |
| Autore | Claster William B. |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, , 2020 |
| Descrizione fisica | 1 online resource (431 pages) |
| Disciplina | 519.502855133 |
| Soggetto topico | R (Computer program language) |
| ISBN |
1-00-305122-7
1-000-19699-2 1-003-05122-7 1-000-19697-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Chapter 1. Functions Tutorial. Chapter 2. Logic and R. Chapter 3. Sets with R: Building the Tools. Chapter 4. Probability. Chapter 5. Naïve Rule. Chapter 6. Complete Bayes. Chapter 7. Naïve Bayes Classifier. Chapter 8. Stored Model for Naive Bayes Classifier. Chapter 9. Review of Mathematics for Neural Networks. Chapter 10. Calculus. Chapter 11. Neural Networks -- Feed Forward Process and Back Propagation Process. Chapter 12. Programming a Neural Network using OOP in R. Chapter 13. Adding in a Bias Term. Chapter 14. Modular Version of Neural Networks for Deep Learning. Chapter 15. Deep Learning with Convolutional Neural Networks. Chapter 16. R Packages for Neural Networks, Deep Learning, and Naïve Bayes. |
| Record Nr. | UNINA-9910818872303321 |
|
Claster William B.
|
||
| Boca Raton, FL : , : CRC Press, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||