Uploaded December 2023 | Updated September 2026, 2 weeks ago
[Tier 1, Lecture 4a] This video provides a primer on the types of machine learning (ML) and their uses, including: 1) what is a model; 2) what are types of ML; what are the major stages involved in training an ML model.
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
%%% CHAPTERS %%%
0:00 Overview
0:49 Machine Learning is Not Magic
1:29 Machine Learning is Optimization
3:23 What is a Machine Learning Model?
6:24 Categorizing Types of Machine Learning
8:36 Stages of Training a Machine Learning Model
12:49 How to Incorporate Physics into Machine Learning
[Tier 1, Lecture 4a] This video provides a primer on the types of machine learning (ML) and their uses, including: 1) what is a model; 2) what are types of ML; what are the major stages involved in training an ML model.
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
%%% CHAPTERS %%%
0:00 Overview
0:49 Machine Learning is Not Magic
1:29 Machine Learning is Optimization
3:23 What is a Machine Learning Model?
6:24 Categorizing Types of Machine Learning
8:36 Stages of Training a Machine Learning Model
12:49 How to Incorporate Physics into Machine Learning
![Fourier Neural Operator (FNO) [Physics Informed Machine Learning]](https://i.ytimg.com/vi/W8PybqAk6Ik/mqdefault.jpg "Fourier Neural Operator (FNO) [Physics Informed Machine Learning]
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
%%% CHAPTERS %%%
00:00 Intro
01:54 Operators as Images, Fourier as Convolution
04:43 Zero-Shot Super Resolution
07:33 Generalizing Neural Operators
09:47 Conditions and Operator Kernels
10:53 Mesh Invariance
12:31 Why Neural Operators // Or Neural operators vs other methods
13:47 Result: Greens Function
15:14 Laplace Neural Operators
17:14 Outro")
