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e-book : Python machine learning: unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics.

RASCHKA Sebastian

PACKT Publishing

2015

425

LOGICIEL ; INFORMATIQUE ; ANALYSE DES DONNEES ; INTELLIGENCE ARTIFICIELLE

https://univ-scholarvox-com.bibliopam.univ-catholille.fr/catalog/book/docid/88853239?searchterm=python%20machine%20learning

eISBN : 978-1-78355-513-0

Sommaire :
Preface

1. Giving computers the ability to learn data
2. Training machine learning algorithms for classification
3. A tour of machine learning classifiers using scikit-learn
4. Building good training sets ­ Data preprocessing
5. Compressing data via dimensionality reduction
6. Learning best practices for model evaluation and hyperparameter tuning
7. Combining different models for ensemble learning
8. Applying machine learning to sentiment analysis
9. Embedding a machine learning model into a web application
10. Predicting continuous target variables with regression analysis
11. Working with unlabeled data ­ Clustering analysis
12. Training artificial neural networks for image recognition
13. Parallelizing neural network training with theano

Index

Langue : Anglais

Localisation : Bibliothèque Campus de Nice

Support : Numérique

Etat : Présent

Propriétaire : Bibliothèque

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