I recently wrote an email to an Irish Entrepreneur about the challenges of using Kubernetes and Kafka. I think both technologies are awesome, but I’ve seen in the past companies trying to integrate them without thinking about the managed services that exist out there. Kubernetes If you’re doing it yourself I’d look at https://docs.aws.amazon.com/eks/latest/userguide/getting-started.html which is from… Continue reading Why serverless matters or how do you want to spend your innovation tokens?
I was recently speaking to some data science friends on Slack, and we were discussing projects and war stories. Something that came across was that ‘data science’ projects aren’t always successful. Somewhere around this discussion a lightbulb went off in my head about some of the problems we have with embarking on data science projects.… Continue reading One weird tip to improve the success of Data Science projects
Recently I decided to do some quick Data Analysis of my interviews with data scientists. It seems natural when you collect a lot of data to explore it and do some data analysis on it. You can access the code here. The code isn’t in much depth but it is a simple example of how… Continue reading Interviews with Data Scientists: NLP for the win
J.D.Long is the current AVP Risk Management at RenaissanceRe and has a 15 year history of working as an analytics professional. I sent him an interview recently to see what he would say. Good questions Peadar. Here’s a really fast attempt at answers: 1. What project have you worked on do you wish you could go back… Continue reading An interview with a data artisan
Attention conservation notice: 680 words about Information Retrieval, and highly unoriginal. The following is very much inspired by a course by Cosma Shalizi but I felt it was worth rewriting to get to grips with the concepts. This is the first of what is hopefully a series of posts on ‘Information Retrieval’, and applications of… Continue reading Information Retrieval