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

Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python
ebook
Autor: Ankur Ankan
Tytuł 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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Dodaj do koszyka Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python

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

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

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