With Hands-On Unsupervised Learning with Python, explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more. Build your own neural network models using modern Python libraries. (Limited-time offer)
Table of Contents
- Getting Started with Unsupervised Learning
- Clustering Fundamentals
- Advanced Clustering
- Hierarchical Clustering in Action
- Soft Clustering and Gaussian Mixture Models
- Anomaly Detection
- Dimensionality Reduction and Component Analysis
- Unsupervised Neural Network Models
- Generative Adversarial Networks and SOMs
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Author(s): Giuseppe Bonaccorso
Publisher: Packt Publishing
Published: February 28, 2019
Format(s): Online
File size: –
Number of pages: 386
Download / View Link(s): This offer has ended.
Free as of08/15/2020 03/28/2023.
Publisher: Packt Publishing
Published: February 28, 2019
Format(s): Online
File size: –
Number of pages: 386
Download / View Link(s): This offer has ended.
Free as of