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Hands-on machine learning with scikit-learn and tensorflow: concepts, tools, and techniques to build intelligent systems/ Aurelien Geron

By: Publication details: Kolkata: Shroff Publishers, 2019.Edition: 2nd edDescription: xxv, 819 p. : col. ill. ; 24 cmISBN:
  • 9789352139057
  • 9781492032649
Subject(s): DDC classification:
  • 006.31 GER/H
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
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
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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