Difficulty Level
Intermediate
Completion Time
9h28m
Language
English
About Book
Who Is This Book For?
If you are a researcher or a machine learning enthusiast, or are working in the data science field and have a basic idea of Bayesian learning or probabilistic graphical models, this book will help you to understand the details of graphical models and use them in your data science problems.
Mastering Probabilistic Graphical Models Using Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h28m total length
Bayesian Network Fundamentals
Markov Network Fundamentals
Inference: Asking Questions to Models
Approximate Inference Methods: Sampling
Model Learning: Parameter Estimation in Bayesian Networks
Model Learning: Parameter Estimation in Markov Networks
Specialized Models
Related Resources
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