| Titre : |
Python machine learning : machine learning and deep learning with Python, scikit-learn, and tensorflow |
| Type de document : |
texte imprimé |
| Auteurs : |
Sebastian Raschka, Auteur ; Vahid Mirjalili, Auteur |
| Mention d'édition : |
2nd ed |
| Editeur : |
Birmingham : Packt Publishing |
| Année de publication : |
2017 |
| Importance : |
XVIII, 594 p. |
| Présentation : |
ill. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
978-1-78712-593-3 |
| Note générale : |
Index |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Python (langage de programmation)
Apprentissage automatique
Apprentissage profond
Python (Computer program language)
Machine learning |
| Index. décimale : |
004.43 Langage de programmation |
| Résumé : |
Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Using Python's open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.
Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow 1.x deep learning library. The scikit-learn code has also been fully updated to v0.18.1 to include improvements and additions to this versatile machine learning library. |
| Note de contenu : |
Summary :
1. Giving computers the ability to learn from data.
2. Training simple machine learning algorithms fo classification.
3. A tour of machine learning classifiers using scikit-learn.
4. Building good trainnig sets - data preprocessing.
5. Compressing data via dimensionality reduction.
6. Learning best practices for model evaluation and hyperparameter tuning.
... |
Python machine learning : machine learning and deep learning with Python, scikit-learn, and tensorflow [texte imprimé] / Sebastian Raschka, Auteur ; Vahid Mirjalili, Auteur . - 2nd ed . - Birmingham : Packt Publishing, 2017 . - XVIII, 594 p. : ill. ; 24 cm. ISBN : 978-1-78712-593-3 Index Langues : Anglais ( eng)
| Mots-clés : |
Python (langage de programmation)
Apprentissage automatique
Apprentissage profond
Python (Computer program language)
Machine learning |
| Index. décimale : |
004.43 Langage de programmation |
| Résumé : |
Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Using Python's open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.
Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow 1.x deep learning library. The scikit-learn code has also been fully updated to v0.18.1 to include improvements and additions to this versatile machine learning library. |
| Note de contenu : |
Summary :
1. Giving computers the ability to learn from data.
2. Training simple machine learning algorithms fo classification.
3. A tour of machine learning classifiers using scikit-learn.
4. Building good trainnig sets - data preprocessing.
5. Compressing data via dimensionality reduction.
6. Learning best practices for model evaluation and hyperparameter tuning.
... |
|  |
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