Python machine learning : machine learning and deep learning with python, scikit-learn, and tensorflow 2 / Sebastian Raschka y Vahid Mirjalili.

Por:

Raschka, Sebastian [autor]

Colaborador(es):

Mirjalili, Vahid [autor]

Tipo de material: Texto

TextoIdioma: Inglés Editor: Birmingham : Distribuidor: Packt Publishing, Limited, Fecha de copyright: ©2019Edición: 3a ediciónDescripción: xxii, 742 páginas : ilustraciones, gráficas ; 23 x 19 cmTipo de contenido:

texto

Tipo de medio:

sin medio

Tipo de soporte:

volumen

ISBN:

9781789955750

Tema(s):

Python (Computer program language)

Clasificación CDD:

005.133 RAS

Clasificación LoC:

QA 76 .73 .P98 R373 2019

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 hyperparmeter 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 with TensorFlow -- Going deeper -- The mechanics of TensorFlow -- Classifying images with deep convolutional neural networks -- Modeling sequential data using recurrent neural networks -- Generative adversarial networks for synthesizing new data -- Reinforcement learning for decision making in complex environments

Resumen: Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. This new third edition is updated for TensorFlow 2 and the latest additions to ...

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Tipo de ítem	Biblioteca actual	Biblioteca de origen	Colección	Signatura topográfica	Copia número	Estado	Notas	Fecha de vencimiento	Código de barras	Reserva de ítems
Libros para consulta en sala	Biblioteca Antonio Enriquez Savignac	Biblioteca Antonio Enriquez Savignac	COLECCIÓN RESERVA	QA 76 .73 .P98 R373 2019 (Navegar estantería(Abre debajo))	Ejem.1	No para préstamo (Préstamo interno)	Ingeniería Logística		043001
Libros	Biblioteca Antonio Enriquez Savignac	Biblioteca Antonio Enriquez Savignac	Colección General	QA 76 .73 .P98 R373 2019 (Navegar estantería(Abre debajo))	Ejem.2	Disponible	Ingeniería Logística		043002

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Incluye índice

"Third edition includes TensorFlow 2, GANS, and reinforcement learning"

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 hyperparmeter 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 with TensorFlow --
Going deeper --
The mechanics of TensorFlow --
Classifying images with deep convolutional neural networks --
Modeling sequential data using recurrent neural networks --
Generative adversarial networks for synthesizing new data --
Reinforcement learning for decision making in complex environments

Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. This new third edition is updated for TensorFlow 2 and the latest additions to ...

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Python machine learning : machine learning and deep learning with python, scikit-learn, and tensorflow 2 / Sebastian Raschka y Vahid Mirjalili.

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