Python machine learning. Machine learning and deep learning whit Python, scikit-learn and TensorFlow
Idioma: Español Detalles de publicación: Birmingham (Inglaterra): Packt Publishing 2017Edición: Second editionDescripción: 595 páginas (23x19 cm)Tipo de contenido:- text
- no mediado
- volumen
- 9781787125933
- 006.31 RASp
Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Copia número | Estado | Fecha de vencimiento | Código de barras | |
---|---|---|---|---|---|---|---|---|
Libros | Biblioteca General En biblioteca | Fac de Sistemas y Telecomunicaciones - Carrera de Informática | 006.31 RASp (Navegar estantería(Abre debajo)) | Ej. 1 | Disponible | BG0025362 |
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 madel evaluation and hyperparameter tuning.-- Combining different model for ensamble learning.-- Embedding a machine learning model into a web application.-- Prediicting continuous target variables with regression analysis.-- Working with unlabiled data - clustering analysis.-- Implementing a multilayer artificial neural network from scratch.-- Parallelizing neural nentwork training with ternsorflow.-- Classifying images with deep convolutional neural networks.-- Modeling sequential data using recurrent neural networks.-- Introducing sequential data.-- RNNs for modeling sequenses.-- Implement a multiplayer RNN for sequence modeling in tensorflow
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