Bayesian Networks

Introduction to Graphical Models and Bayesian Networks

On 28 Jan, 2022 By admin 0 Comments

DSA ADS Course - 2022

Graphical Models, Bayesian Networks, Applied Probability, Probabilistic Causation, Causal Inference

Applied data scientists require high-level understanding of probability theory and specialized techniques to design systems and solve problems in the real world.  Graphical model formalism provides a natural framework for the design of new data science systems.

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A Personal Journey into Bayesian Networks

On 2 Dec, 2020 By admin 0 Comments

May, 2018

Abstract

This report contains personal memories from the years that Bayesian networks were developed, 1978-1988. It was written as a section in The Book of Why: The new science of cause and effect (Pearl and Mackenzie, 2018) but was taken out to meet space limitations. I am archiving these memories with the hope that they will prove useful for future archivists.

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