Hands-on unsupervised learning using Python: how to build applied machine learning solutions from unlabeled data/ Ankur A. Patel
Publication details: Kolkata: Shroff Publishers, 2019Description: xix, 337 p. : ill. ; 24 cmISBN: 9781492035640; 9789352138128Subject(s): Python (Computer program language) | Machine learning | Artificial intelligenceDDC classification: 005.133Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
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General Books | Central Library, Sikkim University General Book Section | 005.133 PAT/H (Browse shelf(Opens below)) | Available | 48052 |
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005.133 LIP/D Data Structures with C++ | 005.133 LUT/L Learning python/ | 005.133 NAY/C C++ for beginners/ | 005.133 PAT/H Hands-on unsupervised learning using Python: how to build applied machine learning solutions from unlabeled data/ | 005.133 RAJ/C Computer programming in fortran 77: an introduction to Fortran 90/ | 005.133 RAV/P Programming with C++ | 005.133 RAV/P Programming with C++ |
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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