Machine Learning with Python
portes grátis
Machine Learning with Python
Principles and Practical Techniques
Bhatia, Parteek
Cambridge University Press
10/2024
850
Mole
Inglês
9781009170246
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Acknowledgements; Preface; Chapter 1. Beginning with Machine Learning; Chapter 2. Introduction to Python; Chapter 3. Data Pre-processing; Chapter 4. Implementing Data Pre-processing in Python; Chapter 5. Simple Linear Regression; Chapter 6. Implementing Simple Linear Regression; Chapter 7. Multiple Linear Regression and Polynomial Linear Regression; Chapter 8. Implementing Multiple Linear Regression and Polynomial Linear Regression; Chapter 9. Classification; Chapter 10. Support Vector Machine Classifier; Chapter 11. Implementing Classification; Chapter 12. Clustering; Chapter 13. Implementing Clustering; Chapter 14. Association Mining; Chapter 15. Implementing Association Mining; Chapter 16. Artificial Neural Network; Chapter 17. Implementing the Artificial Neural Network; Chapter 18. Deep Learning and Convolutional Neural Network; Chapter 19. Implementing Convolutional Neural Network; Chapter 20. Recurrent Neural Network; Chapter 21. Implementing Recurrent Neural Network; Chapter 22. Genetic Algorithm for Machine Learning; Index.
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Acknowledgements; Preface; Chapter 1. Beginning with Machine Learning; Chapter 2. Introduction to Python; Chapter 3. Data Pre-processing; Chapter 4. Implementing Data Pre-processing in Python; Chapter 5. Simple Linear Regression; Chapter 6. Implementing Simple Linear Regression; Chapter 7. Multiple Linear Regression and Polynomial Linear Regression; Chapter 8. Implementing Multiple Linear Regression and Polynomial Linear Regression; Chapter 9. Classification; Chapter 10. Support Vector Machine Classifier; Chapter 11. Implementing Classification; Chapter 12. Clustering; Chapter 13. Implementing Clustering; Chapter 14. Association Mining; Chapter 15. Implementing Association Mining; Chapter 16. Artificial Neural Network; Chapter 17. Implementing the Artificial Neural Network; Chapter 18. Deep Learning and Convolutional Neural Network; Chapter 19. Implementing Convolutional Neural Network; Chapter 20. Recurrent Neural Network; Chapter 21. Implementing Recurrent Neural Network; Chapter 22. Genetic Algorithm for Machine Learning; Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
