Steve Brunton

558K subscribers

13:48

A Machine Learning Primer: How to Build an ML Model

Steve Brunton · 66K views · 2 years ago

22:28

Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control

Steve Brunton · 89K views · 3 months ago

18:18

Dynamic Mode Decomposition (Overview)

Steve Brunton · 115K views · 8 years ago

29:31

Differential Equations and Dynamical Systems: Overview

Steve Brunton · 269K views · 4 years ago

29:43

Probability and Statistics: Overview

Steve Brunton · 698K views · 1 year ago

32:11

Topics in Dynamical Systems: Fixed Points, Linearization, Invariant Manifolds, Bifurcations & Chaos

Steve Brunton · 42K views · 3 years ago

25:23

Applications of Optimization

Steve Brunton · 21K views · 2 months ago

30:16

Bayesian Inference: Overview

Steve Brunton · 64K views · 7 months ago

24:06

Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!

Steve Brunton · 103K views · 5 years ago

17:53

The Anatomy of a Dynamical System

Steve Brunton · 122K views · 5 years ago

21:30

HydroGym: A Reinforcement Learning Platform for Fluid Dynamics

Steve Brunton · 39K views · 1 month ago

14:58

Convexity 101 [Optimization Bootcamp]

Steve Brunton · 16K views · 2 months ago

33:57

Eigenvalues and Eigenvectors

Steve Brunton · 93K views · 3 years ago

26:03

Reinforcement Learning: Machine Learning Meets Control Theory

Steve Brunton · 413K views · 5 years ago

21:37

Reinforcement Learning Series: Overview of Methods

Steve Brunton · 173K views · 4 years ago

15:04

The Gradient Operator in Vector Calculus: Directions of Fastest Change & the Directional Derivative

Steve Brunton · 170K views · 4 years ago

9:09

Neural Network Architectures & Deep Learning

Steve Brunton · 869K views · 7 years ago

19:30

Stability and Eigenvalues [Control Bootcamp]

Steve Brunton · 184K views · 9 years ago

12:13

Model Predictive Control

Steve Brunton · 365K views · 8 years ago

YouTube, with the door locked.

Aegis plays a clean stream instead of YouTube's player, so pre-roll ads, trackers, and fingerprinting never ride along. Drop Shields any time if you want the official player back.