CSTR-Edinburgh/mlpractical
Machine Learning Practical course repository
| repo name | CSTR-Edinburgh/mlpractical |
| repo link | https://github.com/CSTR-Edinburgh/mlpractical |
| homepage | http://www.inf.ed.ac.uk/teaching/courses/mlp/ |
| language | Jupyter Notebook |
| size (curr.) | 118067 kB |
| stars (curr.) | 280 |
| created | 2015-09-22 |
| license | |
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
notebooksdirectory 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. Students doing the course will spend part of the first lab getting their own environment set up.
