I’ve been a Scientific American subscriber for many years but over the last year I’ve fallen way behind. Of late I’ve embarked on a frantic catch up and in the December 2016 […]
Data Science Periodic Table
I’m posting this because it’s a really cool graphic. This isn’t mine – it’s been floating around the tech internet for a year now so thought I’d put it up here for […]
Pro Tip #2 – Excel Preparation
It often happens that you need to provide a dataset to non-tech personnel in your company. The most common use case for this that I’ve encountered is when a business unit wants […]
Pro Tip #1 – The Joy of TABs
Exporting data into flat files is a really common task for a data scientist yet over the last few years I’ve seen almost everyone fall down a particular rabbit hole when it […]
Burning Out
I’ve done the first decision tree It looks all wrong – perhaps it’s me I’ve tried all week – but something’s lacking I’m boosting, bagging – even stacking I’m analysing corporate greed […]
ICML 2017 – Part Two
Originally published 22/08/2017 as part of the Bulletproof Technical Blog Training & Prediction : Better, Faster and Cheaper The second half of the conference consisted of more presentations, a series of workshops and […]
What is Data Science?
Originally published 22/06/2016 as part of the Bulletproof Technical Blog Collecting and analysing data isn’t anything new so why do we suddenly have a whole new field and what is it all about […]
Analytics with Microsoft Azure
For every day that passes, more devices come online, more applications are deployed and more data sources are spun up. There has never been a time in our history when data is […]
Thoughts on Colour
I never even considered this until the last year or so but I stumbled across a website talking about graphs and colour blindness. It turns out that roughly 1 in 10 (~8%) […]