Bonaccorso / Unknown Hands-On Unsupervised Learning with Python

Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
1. Auflage 2019
ISBN: 978-1-78934-927-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 386 Seiten

No detailed description available for "Hands-On Unsupervised Learning with Python".

Autoren/Hrsg.

Bonaccorso, Giuseppe

Unknown,

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

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

Über Autor(innen)

Bonaccorso Giuseppe:

Giuseppe Bonaccorso is Head of Data Science in a large multinational company. He received his M.Sc.Eng. in Electronics in 2005 from University of Catania, Italy, and continued his studies at University of Rome Tor Vergata, and University of Essex, UK. His main interests include machine/deep learning, reinforcement learning, big data, and bio-inspired adaptive systems. He is author of several publications including Machine Learning Algorithms and Hands-On Unsupervised Learning with Python, published by Packt.