Independence in Probability

Bayes' Theorem Example: Drug Testing 🌿

Bayes' Theorem (with Example!)

The Law of Total Probability

Conditional Probabilities

The Binomial Distribution and the Multinomial Distribution

Quality Control, Non-Destructive Inspection, and the Multinomial Distribution

Mode Sensitivity for Fluid Flows via Lagrangian Coherent Structures

The Birthday Problem in Probability: P(A) = 1 - P(not A)

Set Theory in Probability: Sample Spaces and Events

Counting Probabilities with Combinatorics and the Factorial

Gentle Introduction to Probability: Counting Coin Flips and Dice

Probability and Statistics: Overview

Python Symbolic Regression (PySR) [Physics Informed Machine Learning]

Neural Implicit Flow (NIF) [Physics Informed Machine Learning]

Fourier Neural Operator (FNO) [Physics Informed Machine Learning]

Deep Operator Networks (DeepONet) [Physics Informed Machine Learning]

Hamiltonian Neural Networks (HNN) [Physics Informed Machine Learning]

Lagrangian Neural Network (LNN) [Physics Informed Machine Learning]

Neural Network Control in Collimator 2.0 & New Educational Videos!!!

Residual Networks (ResNet) [Physics Informed Machine Learning]

Neural ODEs (NODEs) [Physics Informed Machine Learning]

Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning]

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning

AI/ML+Physics: Preview of Upcoming Modules and Bootcamps [Physics Informed Machine Learning]

AI/ML+Physics: Recap and Summary [Physics Informed Machine Learning]

Using sparse trajectory data to find Lagrangian Coherent Structures (LCS) in fluid flows

AI/ML+Physics Part 5: Employing an Optimization Algorithm [Physics Informed Machine Learning]

The Future of Model Based Engineering: Collimator 2.0

AI/ML+Physics Part 4: Crafting a Loss Function [Physics Informed Machine Learning]