I’ve been working in tech for a few years now, and that’s included writing a lot of code. One thing I never got my head around was what is a message broker? I’ve definitely seen them in architecture meetings, and heard people speak of ‘RabbitMQ’ and ‘Redis’ but I don’t really know what they’re for.…… Continue reading What is a Message Broker for?
Author: Peadar Coyle
I help organisations understand, assess and execute on emerging opportunities in data science and machine learning. I've helped organisations from startups to larger organisations unlock value from their data in verticals such as Supply Chain Management, Advertising and Financial Services.
I am happiest at the intersection of product, data science and engineering. My work has exposed me to working with sales people, legal (GDPR), risk and various other functions or cross-functional teams.
If you're looking for a data scientist for some advisory work or technical due diligence, if you have a project in mind or are looking for me to do some writing or speaking, feel free to get in touch peadarcoyle@googlemail.com
Adding value as Data Scientists
I’ve been thinking and discussing with various people lately – ‘career path for data science’. Someone said to me recently: Go become a research scientist and specialise in specific machine learning models say NLP at a specific company such as Google, Amazon, etc. Become a data scientist at a startup or growth company and accept…… Continue reading Adding value as Data Scientists
Interview with a Data Scientist – Vicky Boykis
It gives me great pleasure to interview Vicki Boykis – we’ve chatted a lot on Twitter over the past few years and her blog/ side projects have been inspiring for my own. Vicki is a Data Scientist and Engineer who tweets awesome stuff. She’s well worth following. Her twitter bio – Born: Jewish in Russia. Raised:…… Continue reading Interview with a Data Scientist – Vicky Boykis
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
Bayesian Stats related links
Just a short blog post today. I wanted to write up some useful PyMC3 links I’ve found. https://eigenfoo.xyz/bayesian-modelling-cookbook/ — Great work by George Ho, who’s been contributing to PyMC3 recently. It’s a collection of tips I wished I had when I started out. https://discourse.pymc.io/ — This may be known to a lot of people -…… Continue reading Bayesian Stats related links
Some useful git commands
I’ve been using github and git for over 5 years now. And I STILL forget half of the time. I’m just writing them here for reference. This here is for keeping up your master up to date. git checkout master git reset upstream/master –hard then when checking out git checkout master git pull git checkout…… Continue reading Some useful git commands
Probabilistic Programming Primer
Data Science and interpretability I’ve been involved in industrial applications of machine learning, analytics and what is generally referred to as ‘data science’ for about 5 years now. My experience in academia also probably extends that number. We’ve seen remarkable advances in that time, and a greater appreciation of the value of data in industry…… Continue reading Probabilistic Programming Primer
