Catherine Inness

Catherine Inness is a senior manager in Accenture’s Data Science practice in the UK. She has more than ten years’ experience in technology, focused on the public sector. She holds an MSc in data science and machine learning from University College London, where her research focused on algorithm fairness.

projects by Catherine Inness

Mitigate Machine Learning Bias in Mortgage Lending Data

4 weeks · 5-9 hours per week average · INTERMEDIATE

Included with a Manning Online subscription

catalog / Data Science / Machine Learning / Interpretable Machine Learning

In this series of liveProjects, you’ll apply techniques for measuring and mitigating bias in a machine learning algorithm. You’ll step into the role of a data scientist for a bank, and investigate the potential biases that arise when automated decision-making is applied to your company’s mortgage offers—in particular, whether your algorithm is biased by gender. Each project in this series covers a different aspect of fairness measurement and intervention, including exploring a dataset with a focus on fairness, and mitigating bias in a logistic regression model.