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Category:
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Bayesian (8)
Mental Models (7)
Probabilistic Programming (11)
Causality (8)
Counterfactual Reasoning (4)
Author:
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Robert Osazuwa Ness
shan
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Refactored: Evolve Beyond a Glorified Curve-Fitter
Mental models for refactoring the machine learning part of your brain
%
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 Modeling in Machine Learning Workshop (Alumni)
The most efficient path to engineering causal reasoning in machine learning applications.
%
COMPLETE
Enrollment Closed
Causal Generative Machine Learning Minicourse
Become a expert in building learning agents that reason causally
%
COMPLETE
FREE
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
Algorithmizing Counterfactual Reasoning
How to write algorithms that handle advanced causal counterfactuals
%
COMPLETE
Enrollment Closed
Refactored: A Primer on Inductive Biases
A concise primer on "invariances", "priors" and other "inductive biases" in machine learning and deep neural net architectures.
%
COMPLETE
$89