No title Machine learning with Python cookbook : practical solutions from preprocessing to deep learning /
Gallatin, Kyle,
Machine learning with Python cookbook : practical solutions from preprocessing to deep learning / Kyle Gallatin and Chris Albon. - 2nd ed. - Boston : O'Reilly Media Inc, 2023. - xiv, 398 pages : illustrations (black and white) ; 24 cm
Previous ed.: / Chris Albon. 2018. Includes index.
This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure that it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications.
9781098135720 1098135725
Machine learning.
Python (Computer program language)
Apprentissage automatique.
Python (Langage de programmation)
Machine learning
Python (Computer program language)
006.31/ G162m
Machine learning with Python cookbook : practical solutions from preprocessing to deep learning / Kyle Gallatin and Chris Albon. - 2nd ed. - Boston : O'Reilly Media Inc, 2023. - xiv, 398 pages : illustrations (black and white) ; 24 cm
Previous ed.: / Chris Albon. 2018. Includes index.
This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure that it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications.
9781098135720 1098135725
Machine learning.
Python (Computer program language)
Apprentissage automatique.
Python (Langage de programmation)
Machine learning
Python (Computer program language)
006.31/ G162m