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

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to the holy grail in AI research, the so-called general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning can...

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Bibliographic Details
Main Author: Patel, Ankur A.
Format: Printed Book
Language:English
Published: 2019 O'reilly, Mumbai :
Edition:First edition.
Subjects:
Python (Computer program language)
Machine learning.
Artificial intelligence.
Handbooks and manuals.
Table of 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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