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Category:
Probabilistic Programming
All
Bayesian (3)
Mental Models (2)
Probabilistic Programming (5)
Causality (4)
Counterfactual Reasoning (3)
Author:
All
All
Robert Osazuwa Ness
shan
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Probabilistic Programming
The Claude Shannon Way of Modeling
Shannon's Communication Theory and its Applications in Data Science
%
COMPLETE
$49
Causal Modeling in Machine Learning Workshop
The most efficient path to engineering causal reasoning in machine learning applications.
%
COMPLETE
Enrollment Closed
Probabilistic Machine Learning
The shortest path to building software for Bayesian reasoning and probabilistic machine learning.
%
COMPLETE
Enrollment Closed
Causal Agents and Reinforcement Learning
Build agents that make decisions using causal reasoning.
%
COMPLETE
$99