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Python machine learning : unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics /
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsAbout This BookLeverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimi...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2015.
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| Colección: | Community experience distilled.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Giving computers the ability to learn from data
- Training 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
- Training artificial neural networks for image recognition
- Parallelizing neural network training with Theano.