Category:
Author:

Robert Osazuwa Ness


The Claude Shannon Way of Modeling
Shannon's Communication Theory and its Applications in Data Science
$49
Causal Modeling in Machine Learning Workshop
The most efficient path to engineering causal reasoning in machine learning applications.
Enrollment Closed
Causal Generative Machine Learning Minicourse
Become a expert in building learning agents that reason causally
FREE
Probabilistic Machine Learning
The shortest path to building software for Bayesian reasoning and probabilistic machine learning.
Enrollment Closed
Causal Agents and Reinforcement Learning
Build agents that make decisions using causal reasoning.
$99
Algorithmizing Counterfactual Reasoning
How to write algorithms that handle advanced causal counterfactuals
$49
Refactored: A Primer on Inductive Biases
A concise primer on "invariances", "priors" and other "inductive biases" in machine learning and deep neural net architectures.
$89
Building Apps with Large Language Models
Enrollment Closed