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Category:
Probabilistic Programming
All
Bayesian (5)
Mental Models (4)
Probabilistic Programming (8)
Causality (6)
Counterfactual Reasoning (4)
Author:
All
All
Robert Osazuwa Ness
shan
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Probabilistic Programming
Refactored: Evolve Beyond a Glorified Curve-Fitter
Mental models for refactoring the machine learning part of your brain
%
COMPLETE
Enrollment Closed
Refactored: Evolve Beyond a Glorified Curve-Fitter (Special Enrollment)
Mental models for refactoring the machine learning part of your brain
%
COMPLETE
$399
Causal Modeling in Machine Learning Workshop (Alumni)
The most efficient path to engineering causal reasoning in machine learning applications.
%
COMPLETE
Enrollment Closed
Causal Modeling in Machine Learning Workshop
The most efficient path to engineering causal reasoning in machine learning applications.
%
COMPLETE
Enrollment Closed
Causal Machine Learning with PyTorch (CS7290 51741)
The most efficient path to engineering causal reasoning in machine learning applications.
%
COMPLETE
Enrollment Closed
Applied Bayesian Machine Learning CS7290 51742
The shortest path to building software for Bayesian reasoning and probabilistic machine learning.
%
COMPLETE
Enrollment Closed
Modern Probabilistic Modeler
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
Enrollment Closed