Foundations of Probability: Spaces, Events, and Conditioning
Comprehensive guide on Foundations of Probability: Spaces, Events, and Conditioning covering Events and outcomes, Probability spaces, Conditional probability, Independent and dependent events, and Bayes' theorem with code and visual sketchnotes.
Random Variables, Distributions, and Expectations
Comprehensive guide on Random Variables, Distributions, and Expectations covering Random variables, Discrete and continuous distributions, Expected value, and Variance with code and visual sketchnotes.
Statistical Inference and Bayesian Thinking for AI
Comprehensive guide on Statistical Inference and Bayesian Thinking for AI covering Likelihood versus probability, Bayesian thinking for AI, Noise versus signal with code and visual sketchnotes.