About 60 results for "UCm5mt-A4w61lknZ9lCsZtBw"

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Hypothesis Testing in Statistics

Steve BruntonSep 23, 2025

Confidence Intervals

Steve BruntonSep 16, 2025

PT16M7S

Random Sampling in Statistics: Expected Value and Variance of the Sample Mean

Steve BruntonAug 19, 2025

10k

Covariance and Correlation in Probability

Steve BruntonJul 16, 2025

The Expected Value (Mean) of a Probability Distribution

Steve BruntonJun 23, 2025

Bernoulli and Binomial Random Variables

Steve BruntonFeb 27, 2025

Random Variables and Probability Distributions

Steve BruntonFeb 23, 2025

TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

Steve BruntonFeb 3, 2025

Bayes' Theorem Example: Drug Testing 🌿

Steve BruntonDec 27, 2024

Independence in Probability

Steve BruntonDec 27, 2024

Bayes' Theorem (with Example!)

Steve BruntonDec 27, 2024

The Law of Total Probability

Steve BruntonNov 27, 2024

Conditional Probabilities

Steve BruntonNov 27, 2024

Probability and Statistics: Overview

Steve BruntonNov 27, 2024

Gentle Introduction to Probability: Counting Coin Flips and Dice

Steve BruntonNov 23, 2024

Counting Probabilities with Combinatorics and the Factorial

Steve BruntonNov 23, 2024

Set Theory in Probability: Sample Spaces and Events

Steve BruntonNov 23, 2024

Neural ODEs (NODEs) [Physics Informed Machine Learning]

Steve BruntonOct 28, 2024

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

Steve BruntonOct 28, 2024

PT16M11S

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

Steve BruntonSep 11, 2024

40k

PT36M30S

AI/ML+Physics Part 3: Designing an Architecture [Physics Informed Machine Learning]

Steve BruntonMar 8, 2024

55k

PT43M27S

AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]

Steve BruntonFeb 23, 2024

109k

PT47M27S

Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering

Steve BruntonFeb 16, 2024

311k

Reinforcement Learning Series: Overview of Methods

Steve BruntonDec 15, 2022

Div, Grad, and Curl: Vector Calculus Building Blocks for PDEs [Divergence, Gradient, and Curl]

Steve BruntonNov 25, 2022

Eigenvalues and Eigenvectors

Steve BruntonNov 23, 2022

Model Based Reinforcement Learning: Policy Iteration, Value Iteration, and Dynamic Programming

Steve BruntonNov 22, 2022

Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning

Steve BruntonNov 22, 2022

The Discrete Fourier Transform (DFT)

Steve BruntonDec 16, 2020