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Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications /
This is a short, practical guide that allows data scientists to understand the concepts of Graphical models and enables them to try them out using small Python code snippets, without being too mathematically complicated. If you are a data scientist who knows about machine learning and want to enhanc...
| Call Number: | Libro Electrónico |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Birmingham :
Packt Publishing,
2014.
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| Series: | Community experience distilled.
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| Subjects: | |
| Online Access: | Texto completo |
Table of Contents:
- Probability
- Directed graphical models
- Undirected graphical models
- Structure learning
- Parameter learning
- Exact inference using graphical models
- Approximate inference methods.