Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more [E-Book] / Giuseppe Bonaccorso.
Unsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is f...
Saved in:
Full text |
|
Personal Name(s): | Bonaccorso, Giuseppe, author |
Edition: |
1st edition |
Imprint: |
Birmingham :
Packt Publishing,
2019
|
Physical Description: |
375 pages (online resource) |
Note: |
englisch |
ISBN: |
9781789348279 9781789349276 |
Subject (ZB): | |
Subject (LOC): | |
Classification: |
- Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
- About Packt
- Contributors
- Table of Contents
- Preface
- Chapter 1: Getting Started with Unsupervised Learning
- Chapter 2: Clustering Fundamentals
- Chapter 3: Advanced Clustering
- Chapter 4: Hierarchical Clustering in Action
- Chapter 5: Soft Clustering and Gaussian Mixture Models
- Chapter 6: Anomaly Detection
- Chapter 7: Dimensionality Reduction and Component Analysis
- Chapter 8: Unsupervised Neural Network Models
- Chapter 9: Generative Adversarial Networks and SOMs
- Appendix A: Assessments
- Other Books You May Enjoy
- Index.