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Hands-On Unsupervised Learning with Python

You're reading from   Hands-On Unsupervised Learning with Python Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789348279
Length 386 pages
Edition 1st Edition
Languages
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Authors (2):
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Giuseppe Bonaccorso Giuseppe Bonaccorso
Author Profile Icon Giuseppe Bonaccorso
Giuseppe Bonaccorso
Giuseppe Bonaccorso Giuseppe Bonaccorso
Author Profile Icon Giuseppe Bonaccorso
Giuseppe Bonaccorso
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Unsupervised Learning FREE CHAPTER 2. Clustering Fundamentals 3. Advanced Clustering 4. Hierarchical Clustering in Action 5. Soft Clustering and Gaussian Mixture Models 6. Anomaly Detection 7. Dimensionality Reduction and Component Analysis 8. Unsupervised Neural Network Models 9. Generative Adversarial Networks and SOMs 10. Assessments 11. Other Books You May Enjoy

Further reading

  • Online Dictionary Learning for Sparse Coding, J. Mairal, F. Bach, J. Ponce, and G. Sapiro, 2009
  • Learning the parts of objects by non-negative matrix factorization, Lee D. D., Seung S. H., Nature, 401, 10/1999
  • EM algorithms for ML factor analysis, Rubin D., and Thayer D., Psychometrika, 47, 1982
  • Independent Component Analysis: Algorithms and Applications, Hyvarinen A. and Oja E., Neural Networks 13, 2000
  • Mathematical Foundations of Information Theory, Khinchin A. I., Dover Publications
  • Latent Dirichlet Allocation, Journal of Machine Learning Research, Blei D., Ng A., and Jordan M., 3, (2003) 993-1022
  • Machine Learning Algorithms Second Edition, Bonaccorso G., Packt Publishing, 2018
  • Mastering Machine Learning Algorithms, Bonaccorso G., Packt Publishing, 2018
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