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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, AurelienPublication details: Kolkata: Shroff Publishers, 2019Edition: 2nd edDescription: xxv, 819 p. : col. ill. ; 24 cmISBN: 9789352139057; 9781492032649Subject(s): Machine learning | Artificial intelligenceDDC classification: 006.31

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

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Holdings ( 3 )
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Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
General Books	Central Library, Sikkim University General Book Section	006.31 GER/H (Browse shelf(Opens below))	C1	Available	48042
General Books	Central Library, Sikkim University General Book Section	006.31 GER/H (Browse shelf(Opens below))	C2	Available	48043
General Books	Central Library, Sikkim University General Book Section	006.31 GER/H (Browse shelf(Opens below))	C 3	Available	48044

Total holds: 0

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

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