Python machine learning

Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow

by Raschka, Sebastian

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Title Statements

  • Full title :Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow / Sebastian Raschka, Vahid Mirajalili.

Edition Statements

  • Publication Date:2017.
  • Edition:2nd ed

Publication Statements

  • Publisher(s):Packt Publishing
  • Place of Publication:Birmingham, UK
  • Language:eng
  • Publication Date:2017.

The Physical Object

  • Description:XVIII, 595 p. : : il. ; : 24 cm

Edition Identifiers

  • ISBN:9781787125933, 1787125939
  • oclc:on1026176655

Table of Contents

Índice abreviado: 1. Giving computers the ability to learn from data 2. Training simple 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 hyperpaarmeter 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. Implementing a multilayer artificial neural network from Scratch 13. Parallelizing neural network training with TensorFlow 14. Going deeper -- The mechanics of TensorFlow 15. Classifying images with deep convolutional neural networks 16. Modeling sequential data using recurrent neural networks.

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Subjects

Aprendizaje automático (Inteligencia ar… Machine learning Python (Computer program language) Python (Lenguaje de programación)

Writers

Raschka, Sebastian Mirajalili, Vahid

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