Category:Machine learning
Machine learning (ML) is a field devoted to understanding and building methods that let machines "learn" -- that is, methods that leverage data to improve computer performance on some set of tasks.
Guides
This category has the following 6 guides, out of 6 total.
Machine Learning: The Basics
Introduction to machine learning
- Pages10
- Questions0
- Exercises61
Lecture notes on ridge regression
Collection of many well-known results on ridge regression.
- Pages11
- Questions0
- Exercises65
Neural Network Architectures
Lecture notes on theoretical aspects of deep learning copied from "Neural Network Architectures" (arXiv:2304.05133) by Evelyn Herberg
- Pages5
- Questions0
- Exercises0
Introduction to Machine Learning for the Sciences
Introductory machine learning course specifically developed with STEM students in mind
- Pages8
- Questions0
- Exercises0
A Brief Introduction to Causal Inference in Machine Learning
Introducing students to expand their view and knowledge of machine learning to incorporate causal reasoning
- Pages18
- Questions0
- Exercises0
Mathematics of Neural Networks
The course is intended as an introduction to neural networks for mathematics students at the graduate level and aims to make mathematics students interested in further researching neural networks
- Pages14
- Questions0
- Exercises0