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Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow /
Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learnin...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2017.
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| Edición: | Second edition, fully revised and updated. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Giving computers the ability to learn from data
- Training simple machine learning algorithms for classification
- A tour of machine learning classifiers using scikit-learn
- Building good training sets
- data preprocessing
- Compressing data via dimensionality reduction
- Learning best practices for model evaluation and hyperparameter tuning
- Combining different models for ensemble learning
- Applying machine learning to sentiment analysis
- Embedding a machine learning model into a web application
- Predicting continuous target variables with regression analysis
- Working with unlabeled data
- clustering analysis
- Implementing a multilayer artificial neural network from scratch
- Parallelizing neural network training and TensorFlow
- Going deeper
- the mechanics of TensorFlow
- Classifying images with deep convolutional neural networks
- Modeling sequential data using recurrent neural networks.