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Hands-on unsupervised learning using Python: how to build applied machine learning solutions from unlabeled data/ Ankur A. Patel

By: Patel, Ankur APublication details: Kolkata: Shroff Publishers, 2019Description: xix, 337 p. : ill. ; 24 cmISBN: 9781492035640; 9789352138128Subject(s): Python (Computer program language) | Machine learning | Artificial intelligenceDDC classification: 005.133

Contents:

Part 1. Fundamentals of unsupervised learning. Unsupervised learning in the machine learning ecosystem -- End-to-end machine learning project -- Part 2. Unsupervised learning using Scikit-learn. Dimensionality reduction -- Anomaly detection -- Clustering -- Group segmentation -- Part 3. Unsupervised learning using TensorFlow and Keras. Autoencoders -- Hands-on autoencoder -- Semisupervised learning -- Part 4. Deep unsupervised learning using TensorFlow and Keras. Recommender systems using restricted Boltzmann machines -- Feature detection using deep belief networks -- Generative adversarial networks -- Time series clustering -- Conclusion.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
General Books	Central Library, Sikkim University General Book Section	005.133 PAT/H (Browse shelf(Opens below))	Available		48052

Total holds: 0

Part 1. Fundamentals of unsupervised learning. Unsupervised learning in the machine learning ecosystem --
End-to-end machine learning project --
Part 2. Unsupervised learning using Scikit-learn. Dimensionality reduction --
Anomaly detection --
Clustering --
Group segmentation --
Part 3. Unsupervised learning using TensorFlow and Keras. Autoencoders --
Hands-on autoencoder --
Semisupervised learning --
Part 4. Deep unsupervised learning using TensorFlow and Keras. Recommender systems using restricted Boltzmann machines --
Feature detection using deep belief networks --
Generative adversarial networks --
Time series clustering --
Conclusion.

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