Alejandro Saucedo: Guide towards algorithm explainability in machine learning | PyData London 2019

A practical guide towards algorithmic bias and explainability in machine learning.

Slides and code - https://github.com/EthicalML/explaina...

Undesired bias in machine learning has become a worrying topic due to the numerous high profile incidents. In this talk we demystify machine learning bias through a hands-on example. We'll be tasked to automate the loan approval process for a company, and introduce key tools and techniques from latest research that allow us to assess and mitigate undesired bias in our machine learning models.

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