PickAClass · Foundations & Lifelong Academics · Mathematics

Probability & Statistics

Learn to analyze and interpret data, understand randomness, and make predictions. Covers key concepts like probability distributions, hypothesis testing, and regression.

Probability & Statistics

Weighted Sampling and Non-Uniform Discrete Distributions in C#

Introduction to Bayesian Inference and Statistical Reasoning

Probability Distributions in C# for Developers

Functional Probability Distributions with Monads in C#

Introduction to Probability Distributions in Statistics

Expected Value and Importance Sampling in Continuous Distributions with C#

Pseudo-Random Numbers and Probability Distributions in JAX

Handling Tail Issues in Continuous Distributions with C#

Importance Sampling Implementation in C#

Probability Foundations for Data Science

Bayesian Posterior Distributions with C#

Discrete Probability Distributions in C#

Joint Probability Fundamentals for Data Science

Estimating Average Values with Growing Sample Sizes in C#

Sampling Conditioned Distributions in C#

Probability Distribution Monads in C# for Discrete Distributions

Bayesian Regression for Data Analysts

Conditional Probabilities and Likelihood Functions in C#

Quantum Bayesian Networks for Relative Survival Probabilities

Discrete Distribution Programming in C#

Empty Distribution in Discrete Probability with C#

Normal Continuous Random Variables in Python

Continuous Probability Distributions in C#

Probability and Randomness in Algorithm Analysis