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Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems / Aurelien Geron.

By: Geron, Aurelien [author.].
Material type: materialTypeLabelBookPublisher: New Delhi : SPD, 2017Description: xx, 545 p. : ill. 24 cm.ISBN: 9781491962268; 1491962267; 9781491962244; 1491962240; 9789352135219.Subject(s): Machine learning | Artificial intelligence | COMPUTERS -- Cybernetics | COMPUTERS -- Machine Theory | Artificial intelligence | Machine learningGenre/Form: Electronic books.DDC classification: 006.31 Online resources: Access eNYPL
Contents:
The fundamentals of machine learning. The machine learning landscape ; End-to-end machine learning project ; Classification ; Training models ; Support vector machines ; Decision trees ; Ensemble learning and random forests ; Dimensionality reduction -- Neural networks and deep learning. Up and running with TensorFlow ; Introduction to artificial neural networks ; Training deep neural nets ; Distributing TensorFlow across devices and servers ; Convolutional neural networks ; Recurrent neural networks ; Autoencoders ; Reinforcement learning -- Exercise solutions -- Machine learning project checklist -- SVM dual problem -- Autodiff -- Other popular ANN architectures.
Summary: Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
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Item type Current location Call number Status Date due Barcode
Books Books Eastern University Library
General Stacks 		006.31 GEH 2017 (Browse shelf) Not For Loan 16367
Books Books Eastern University Library
General Stacks 		006.31 GEH 2017 (Browse shelf) Available 16368
Books Books Eastern University Library
General Stacks 		006.31 GEH 2017 (Browse shelf) Available 16369
Books Books Eastern University Library
General Stacks 		006.31 GEH 2017 (Browse shelf) Available 16370
Books Books Eastern University Library
General Stacks 		006.31 GEH 2017 (Browse shelf) Available 16371

Includes index.

The fundamentals of machine learning. The machine learning landscape ; End-to-end machine learning project ; Classification ; Training models ; Support vector machines ; Decision trees ; Ensemble learning and random forests ; Dimensionality reduction -- Neural networks and deep learning. Up and running with TensorFlow ; Introduction to artificial neural networks ; Training deep neural nets ; Distributing TensorFlow across devices and servers ; Convolutional neural networks ; Recurrent neural networks ; Autoencoders ; Reinforcement learning -- Exercise solutions -- Machine learning project checklist -- SVM dual problem -- Autodiff -- Other popular ANN architectures.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.

Kamrul Islam

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Last Updated on 25 March 2024
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