A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.

Introduction to trusted AI. Learn to use fairness algorithms to reduce and mitigate bias in data and models with aif360 and explain models with aix360

This repository contains materials for the WTH Workshop Wednesdays 'Data Science' workshop.

Example data file for exercises in QUT's Big Data: Statistical Inference and Machine Learning MOOC on FutureLearn

BathML's parking prediction project (2016-18)