(Reprint from last year) I interviewed the interesting and fascinating Ian Wong – he’s the technical co-founder of OpenDoor, which I personally think is amazing as a concept! 1. What project have you worked on do you wish you could go back to, and do better? Pretty much any project I’ve worked on in the… Continue reading Interview with a Data Scientist – Ian Wong Open Door
Learning to use the Cloud A common question from a Developer or a student is ‘how do I learn AWS or GCP’. For those of you who don’t know AWS – stands for Amazon Web Services and GCP stands for Google Cloud Platform. At the current moment in time I’ve no opinions on Azure from… Continue reading I’m lost, how do I learn to use the Cloud?
I’ve been recently playing around with ‘arviz’. For those of you who don’t know Arviz is a library for exploratory analysis Bayesian Models. I’ve got a Bayesian model built – or someone has built one for me, how do I explore it? How do I plot it? This is the fundamental question that Arviz answers.… Continue reading How do I visualise the results of a Bayesian Model: Rugby models in Arviz
TLDR: This is an opinionated post, but based on recent trends. What is Probabilistic Programming? I recently wrote a course teaching this. Probabilistic Programming is a newish paradigm used in Quantitative Finance, Biology, Insurance and Sports Analytics – it allows you to build generative models to infer latent parameters and the uncertainty of those parameters. It’s been… Continue reading Why Probabilistic Programming is the next big thing in Data Science
I wrote my Masters Thesis on Probability inequalities. This short gist is some notes I wrote up to help me remember the basics of probability inequalities. You may find it useful. Sorry, something went wrong. Reload? Sorry, we cannot display this file. Sorry, this file is invalid so it cannot be displayed. Viewer requires iframe.… Continue reading Probability Inequalities: Why should I care