Recomienda este artículo a tus amigos:
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python Tarek Amr
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
Tarek Amr
This book covers the theory and practice of building data-driven solutions. Includes the end-to-end process, using supervised and unsupervised algorithms. With each algorithm, you will learn the data acquisition and data engineering methods, the apt metrics, and the available hyper-parameters. You will learn how to deploy the models in production.
384 pages
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 24 de julio de 2020 |
| ISBN13 | 9781838826048 |
| Editores | Packt Publishing Limited |
| Páginas | 384 |
| Dimensiones | 235 × 191 × 24 mm · 657 g |
| Lengua | Inglés |