Logo
Steve Brunton
Steve Brunton

433,000 Subscribers

Markov's Inequality in Probability: First Order Estimates
Markov's Inequality in Probability: First Order Estimate
Steve Brunton
Two Examples of Expected Values & Functions: Temperature in C vs F, and the Kinetic Theory of Gases
Two Examples of Expected Values & Functions: Temperature
Steve Brunton
Example of Computing the Expectation and Variance of an Exponential Distribution
Example of Computing the Expectation and Variance of an Expo
Steve Brunton
Properties of the Expected Value
Properties of the Expected Value
Steve Brunton
The Expected Value (Mean) of a Probability Distribution
The Expected Value (Mean) of a Probability Distribution
Steve Brunton
Joint Probability Distributions
Joint Probability Distributions
Steve Brunton
Rescaling the Normal Distribution to Mean Zero and Variance One
Rescaling the Normal Distribution to Mean Zero and Variance
Steve Brunton
Functions of a Random Variable
Functions of a Random Variable
Steve Brunton
The Gamma Distribution
The Gamma Distribution
Steve Brunton
The Connection Between the Exponential Distribution and the Poisson Process
The Connection Between the Exponential Distribution and the
Steve Brunton
New Certificate and Masters Degree in Machine Learning and Artificial Intelligence for Engineering!!
New Certificate and Masters Degree in Machine Learning and A
Steve Brunton
The Hazard Rate and Memoryless Property of the Exponential Distribution
The Hazard Rate and Memoryless Property of the Exponential D
Steve Brunton
The Exponential Distribution: Time Between Poisson Events
The Exponential Distribution: Time Between Poisson Events
Steve Brunton
The Geometric Distribution: The First Success of a Bernoulli Distribution
The Geometric Distribution: The First Success of a Bernoulli
Steve Brunton
The Poisson Distribution: The Rare Event Limit of a Binomial Distribution
The Poisson Distribution: The Rare Event Limit of a Binomial
Steve Brunton
The Standard Unit Normal and Probability Computations
The Standard Unit Normal and Probability Computations
Steve Brunton
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
TOTEM: TOkenized Time Series EMbeddings for General Time Ser
Steve Brunton
Bernoulli and Binomial Random Variables
Bernoulli and Binomial Random Variables
Steve Brunton
Random Variables and Probability Distributions
Random Variables and Probability Distributions
Steve Brunton
Independence in Probability
Independence in Probability
Steve Brunton
Bayes' Theorem Example: Drug Testing 🌿
Bayes' Theorem Example: Drug Testing 🌿
Steve Brunton
Bayes' Theorem (with Example!)
Bayes' Theorem (with Example!)
Steve Brunton
The Law of Total Probability
The Law of Total Probability
Steve Brunton
Conditional Probabilities
Conditional Probabilities
Steve Brunton
The Binomial Distribution and the Multinomial Distribution
The Binomial Distribution and the Multinomial Distribution
Steve Brunton
Quality Control, Non-Destructive Inspection, and the Multinomial Distribution
Quality Control, Non-Destructive Inspection, and the Multino
Steve Brunton
Mode Sensitivity for Fluid Flows via Lagrangian Coherent Structures
Mode Sensitivity for Fluid Flows via Lagrangian Coherent Str
Steve Brunton
The Birthday Problem in Probability: P(A) = 1 - P(not A)
The Birthday Problem in Probability: P(A) = 1 - P(not A)
Steve Brunton
Set Theory in Probability: Sample Spaces and Events
Set Theory in Probability: Sample Spaces and Events
Steve Brunton
Gentle Introduction to Probability: Counting Coin Flips and Dice
Gentle Introduction to Probability: Counting Coin Flips and
Steve Brunton
Probability and Statistics: Overview
Probability and Statistics: Overview
Steve Brunton
Python Symbolic Regression (PySR) [Physics Informed Machine Learning]
Python Symbolic Regression (PySR) [Physics Informed Machine
Steve Brunton
Neural Implicit Flow (NIF) [Physics Informed Machine Learning]
Neural Implicit Flow (NIF) [Physics Informed Machine Learnin
Steve Brunton
Fourier Neural Operator (FNO) [Physics Informed Machine Learning]
Fourier Neural Operator (FNO) [Physics Informed Machine Lear
Steve Brunton
Deep Operator Networks (DeepONet) [Physics Informed Machine Learning]
Deep Operator Networks (DeepONet) [Physics Informed Machine
Steve Brunton
Hamiltonian Neural Networks (HNN) [Physics Informed Machine Learning]
Hamiltonian Neural Networks (HNN) [Physics Informed Machine
Steve Brunton
Lagrangian Neural Network (LNN) [Physics Informed Machine Learning]
Lagrangian Neural Network (LNN) [Physics Informed Machine Le
Steve Brunton
Neural Network Control in Collimator 2.0 & New Educational Videos!!!
Neural Network Control in Collimator 2.0 & New Education
Steve Brunton
Residual Networks (ResNet) [Physics Informed Machine Learning]
Residual Networks (ResNet) [Physics Informed Machine Learnin
Steve Brunton
Neural ODEs (NODEs) [Physics Informed Machine Learning]
Neural ODEs (NODEs) [Physics Informed Machine Learning]
Steve Brunton
Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning]
Physics Informed Neural Networks (PINNs) [Physics Informed M
Steve Brunton
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
SINDy-RL: Interpretable and Efficient Model-Based Reinforcem
Steve Brunton
AI/ML+Physics: Preview of Upcoming Modules and Bootcamps [Physics Informed Machine Learning]
AI/ML+Physics: Preview of Upcoming Modules and Bootcamps [Ph
Steve Brunton
AI/ML+Physics: Recap and Summary [Physics Informed Machine Learning]
AI/ML+Physics: Recap and Summary [Physics Informed Machine L
Steve Brunton
Using sparse trajectory data to find Lagrangian Coherent Structures (LCS) in fluid flows
Using sparse trajectory data to find Lagrangian Coherent Str
Steve Brunton
AI/ML+Physics Part 5: Employing an Optimization Algorithm [Physics Informed Machine Learning]
AI/ML+Physics Part 5: Employing an Optimization Algorithm [P
Steve Brunton
The Future of Model Based Engineering: Collimator 2.0
The Future of Model Based Engineering: Collimator 2.0
Steve Brunton
AI/ML+Physics Part 4: Crafting a Loss Function [Physics Informed Machine Learning]
AI/ML+Physics Part 4: Crafting a Loss Function [Physics Info
Steve Brunton
AI/ML+Physics Part 3: Designing an Architecture [Physics Informed Machine Learning]
AI/ML+Physics Part 3: Designing an Architecture [Physics Inf
Steve Brunton