Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python - Helion

ebook
Autor: Ankur AnkanTytuł oryginału: Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python
ISBN: 9781784395216
stron: 284, Format: ebook
Data wydania: 2015-08-03
Księgarnia: Helion
Cena książki: 139,00 zł
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Spis treści
Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python eBook -- spis treści
- 1. Bayesian Network Fundamentals
- 2. Markov Network Fundamentals
- 3. Inference: Asking Questions to Models
- 4. Approximate Inference Methods: Sampling
- 5. Model Learning: Parameter Estimation in Bayesian Networks
- 6. Model Learning: Parameter Estimation in Markov Networks
- 7. Specialized Models