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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

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

Ankur Ankan

EBOOK
  • 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
  • Tytuł:Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python
  • 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, 9781784395216
  • Data wydania:2015-08-03
  • Format:Ebook
  • Identyfikator pozycji: e_3cup
  • Wydawca: Packt Publishing