## Introduction to Probabilistic Programming Primer

I’ve got an online course called Probabilistic Programming Primer You may be wondering what that’s all about, so I put together a video explainer all about it. Building easy to interpret models isn’t a nice to have anymore it is the reason people pay for models in the first place. And as we see more… Continue reading Introduction to Probabilistic Programming Primer

## State of PPL: How are Bayesian methods used in industry?

I recently put together a survey of over 100 data scientists and analysts. There’ll be a report coming super soon, but before then I wanted to share the infographic. We’ll go into more detail in the report. If you’d like to get access to the report you should sign up  here 70 percent of data scientists… Continue reading State of PPL: How are Bayesian methods used in industry?

## 3 reasons to learn Bayesian Statistics in the new year

What is Bayesian Statistics Bayesian Statistics (or Probabilistic Programming) take a more effective and deep approach to perform analysis of any given data and situation. A/B testing is one of the hottest topics on the internet nowadays. In this testing, you simply consider two different groups, A and B, to analyze the performance of both… Continue reading 3 reasons to learn Bayesian Statistics in the new year

## Applications of Bayesian Statistics: Supply Chain

Bayesian Statistics and Supply Chain Supply Chain can be thought of as a set of procedures that are coordinated to combine manufacturers, suppliers, warehouses, and stores in order to ensure proper production and distribution of material of right quantities at the right location and in right time. This, in turn, ensures that the total supply… Continue reading Applications of Bayesian Statistics: Supply Chain

## How to build a bayesian model in 30 minutes?

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?

## What is BFMI (Bayesian Fraction of Missing Information)?

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)?

## Why Probabilistic Programming is the next big thing in Data Science

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

## Prelaunch – Probabilistic Programming Primer

I’m excited to announce the pre-launch of a new project, that I’ve been spending some time thinking about. I’m a core developer of PyMC3 – and that isn’t as impressive as it sounds 🙂 I’m honoured to work with smart people and learn a lot about Probabilistic Programming from it. However it doesn’t mean I… Continue reading Prelaunch – Probabilistic Programming Primer