One question that is often asked by those who know Machine Learning to me is how do I build a Bayesian Logistic Regression model? If you know how to build a logistic regression model in sklearn or a standard machine learning library it’s quite easy to learn how to do the Bayesian version. In this screencast… Continue reading New Screencast: How do I build a Logistic Regression model the Bayesian way?
You have a problem that you think might need some Bayesian modelling A common question I’m asked is how do you start? In this tutorial I take you from a fresh data set, the data set is an educational dataset. I don’t know anything about the data, and I have no specific domain knowledge. I… Continue reading How to build a bayesian model in 30 minutes?
I recently gave a talk to the excellent research team at Signal Media. And got asked the question I didn’t want to be asked. It was what is the BFMI in PyMC3? The way I largely think of it is, in a practical level – which is – if the BFMI metric is below the… Continue reading What is BFMI (Bayesian Fraction of Missing Information)?
Probabilistic Programming versus Machine Learning In the past ten years, we’ve seen an explosion in Machine Learning applications, these applications have been particularly successful in search, e-commerce, advertising, social media and other verticals. These applications have been particularly focused on predictive accuracy and often involve large amounts of data — sometimes in the region of terabytes — in fact this… Continue reading Why would I ever NEED Bayesian Statistics?
I’m on https://www.datacamp.com/community/podcast/human-centered-design-data-science at 38:10 talking about interpretability and fairness in Machine Learning.