My company http://www.aflorithmic.ai recently went through some migrations. There were a few from the easy – moving from python anywhere to AWS Elastic Beanstalk, to the more involved – a big refactoring that involved moving ejecting from Expo. However, I think the lessons apply. Firstly, I’m not an expert. I’ve been involved in migrations… Continue reading Migrations – or how to fix technical debt
Category: Technology
Interview with a Data Scientist – Cameron Davidson Pilon
(Reprint from a few years ago) Cameron is an open source contributor, a pythonista and a data geek – he’s developed various cool libraries. His blog is worth a read, and I personally recommend his screencasts. He’s got a strong Mathematical background like myself, and he currently is Lead Data Analyst in a Data Science job… Continue reading Interview with a Data Scientist – Cameron Davidson Pilon
Interview with a Data Scientist – Ian Wong Open Door
(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
I’m lost, how do I learn to use the Cloud?
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?
How do I visualise the results of a Bayesian Model: Rugby models in Arviz
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
Building Full-Stack Vertical Data Products
I’ve been in the Data Science space for a number of years now, I first got interested in AI/Machine Learning in 2009 and have a background typical of a number of people in my field – I come from Physics and Mathematics. One trend I’ve run into both at Corporates and Startups is that there… Continue reading Building Full-Stack Vertical Data Products
The Setup
The Setup has always been one of my favorite sites on the internet. I love seeing how other people – in vastly different careers – get their work done. Though I don’t craft Chinese soliders out of cardboard or anything nearly that fascinating, I thought it would be a fun exercise to put together my own version. Who… Continue reading The Setup
Interview with a Data Scientist (Jeroen Latour)
I interviewed a former work colleague – Jeroen Latour. Jeroen is a Senior Data Scientist with a consultancy in the Netherlands called TriFinance and he will soon be joining the Booking.com team as a Data Scientist. He remarks on his analytics consultancy experience here which was formed both at IBM and TriFinance. 1. What project… Continue reading Interview with a Data Scientist (Jeroen Latour)
Sexism in Tech conferences
Writing about sexism in tech conferences is hard. Especially as a young white male. I can only speak anecdotally – but most women in the Tech industry I speak to, talk a bit about moments of subtle sexism or sometimes out-and-out harassment. As a member of the tech community I’m completely behind any promotion of… Continue reading Sexism in Tech conferences
Data Science as a Process
Hilary Mason one of the shining lights of the world of data science Tweeted recently ‘Data people: What is the very first thing you do when you get your hands on a new data set?’ What I do when I get a new dataset is a recent article on the Simple Statistics blog, is a response… Continue reading Data Science as a Process