I’m going to write a bit about expectations management in Data Science projects. Now this is something that the academic side of my personality finds a bit ‘business-speak’. However it matters in commercial environments (and probably in non-commercial environments like not-for-profits too). It’s worth sharing a Dilbert comic. Just because it’s always relevant when discussing ‘business-speak’.…… Continue reading Expectations management in Data Science projects
I was recently having a chat on Slack with a friend about ‘what is Data Science’. What brought up this conversation was something that I feel is the mismatch between what some people hear when people say ‘data science’ and what it is in fact in the real world. My thinking on this has been…… Continue reading Data Science is both marketing and a real function
On being a Senior Data Scientist This post is partly for myself and based on various peoples conversations – it is also inspired by https://www.kitchensoap.com/2012/10/25/on-being-a-senior-engineer/ I’m trying to answer questions like ‘what do we expect from a Senior Data Scientist’. My job title is ‘Senior Data Scientist’ and I often joke I’ve no idea what…… Continue reading What does it mean to be a Senior Data Scientist?
I’ve been recently looking at Survival Analysis at work. It’s an incredibly powerful technique however one challenge I had was getting confidence intervals (or something similar to confidence intervals) to work with Aalen Additive. So largely to allow myself to remember this in future I share the code here 🙂 https://gist.github.com/springcoil/ac468059cf98c8659bf0c44297f79878 https://gist.github.com/springcoil/ac468059cf98c8659bf0c44297f79878.js It should work…… Continue reading Adding the Bootstrap to Lifelines regression
Machine Learning hipster effect Machine Learning is very in vogue at the moment. I feel that a pressure some junior data scientists and engineers feel is the need to do ML just to be a cool hipster, or as a friend of mine calls it ‘the ML hipster trap’. What is the ML hipster trap?…… Continue reading Avoiding the ML hipster trap
This is a fairly opinionated post. It doesn’t represent the views of anyone else other than myself. I recently came across – Pitfalls of a non technical manager and it reminded me of some of the things I was talking about in Trophy Data Scientist I recommend the post above, and I’ll give my take on…… Continue reading Three pitfalls for non-technical managers managing Data Science teams
This is a slightly self-involved post. The only point is to document for myself what I’ve done in 2017, and force myself to blog a bit more. In no particular order: I proposed to my long-term partner, and since then I’ve learned a lot about the various decisions one has to make when planning a…… Continue reading What I learned and accomplished in 2017