uog-ml

This repository collects all the teaching materials from me at University of Glasgow for two courses

• ENG4200: Introduction to Artificial Intelligence and Machine Learning 4
• ENG5337: Advanced Artificial Intelligence and Machine Learning 5

Note

• I taught ENG4200 in two academic years 2023-2024 and 2024-2025. Since the academic year 2025-2026, it have been taught by my colleagues. So the materials they provided can be different from mine.
• Katy and I have been teaching ENG5337 since the academic year 2024-2025.

The teaching materials are pretty much inspired by Andrew Ng's lectures

• Coursera
• Stanford Lectures Link

Implementation in Python

Directory	What is it for
01-linear-regression-single-variable	Linear regression of single variable
02-linear-regression-multiple-variables	Linear regression of multiple variables
03-logistic-regression	Logistic regression
04-multilayer-perceptrons	Conventional feed forward neural networks for regression problems, including continuous regression and classification problems
05-convolution-neural-networks	Convolution neural networks for computer vision problems
06-recurrent-neural-networks	Recurrent neural networks for sequence prediction problems

Libtorch

• Implementation of machine learning frameworks using Libtorch is under construction. Although PyTorch is implemented as Pythonic as possible, the core implementation is actually in C++. To run files in directory cpp, please follow the instruction by official website cppdocs. First, ou need to install C++ distributions of PyTorch, which is Libtorch.