Machine Learning Practical

This repository contains the code for the University of Edinburgh School of Informatics course Machine Learning Practical.

This assignment-based course is focused on the implementation and evaluation of machine learning systems. Students who do this course will have experience in the design, implementation, training, and evaluation of machine learning systems.

The code in this repository is split into:

• a Python package mlp, a NumPy based neural network package designed specifically for the course that students will implement parts of and extend during the course labs and assignments,
• a series of Jupyter notebooks in the notebooks directory containing explanatory material and coding exercises to be completed during the course labs.

Getting set up

Detailed instructions for setting up a development environment for the course are given in this file. Before starting to set up the environment make sure you are remotely connetced to the Informatics Network and the dice machine by following this guide if you are working on the DICE (highly recommended) and not your personal machine. Students doing the course will spend part of the first lab getting their own environment set up.