I’m an Analyst and the software engineers made fun of my code!

I’m seeing a very fuzzy line between where technical business analysts end & IT teams begin. Y’all know of good articles/books on managing responsibilities when coding analysts on the biz side interface with IT dev teams? Seems tricky. #rstats #pydata #python — JD Long (@CMastication) October 19, 2018 My friend JD Long, has been a… Continue reading I’m an Analyst and the software engineers made fun of my code!

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

Interview with a Data Scientist: Mick Cooney

I’m delighted to feature my friend Mick Cooney here as an interviewee. Mick has many years of experience in Finance and more recently in Insurance, he co-ran the Dublin R meetup which was very successful and helped foster a data science community in Dublin. More recently he’s been working over in London at an Actuarial… Continue reading Interview with a Data Scientist: Mick Cooney

3 tips for successful Data Science Projects

I’ve been doing Data Science projects, delivering software and doing Mathematical modelling for nearly 7 years (if you include grad school). I really don’t know everything, but these are a few things I’ve learned. Consider this like a ‘joel test‘ for Data Science. Use a reproducible framework like Cookiecutter Data Science. My workflow used to… Continue reading 3 tips for successful Data Science Projects

A short email from Marvin Minsky – RIP

As a data scientist I regularly use results based upon the work of Marvin Minsky. This is an email exchange I had with him about 6 years ago, when I was working in Education and deciding to go back to school for Graduate School. On Mon, Jun 21, 2010 at 10:53 AM, Peadar Coyle <peadarcoyle@googlemail.com>… Continue reading A short email from Marvin Minsky – RIP

What I’ve been working on – late 2015 and early 2016

I find it useful for morale just to write up what I’ve been working on and what I’ve learned over the last few months. PyMC3: Bayesian Logistic Regression: Bayesian Logistic Regression and Model Selection – I wrote an example of how to use Deviance Information Criterion for model selection in a Bayesian Logistic Regression. This… Continue reading What I’ve been working on – late 2015 and early 2016

Interview with a Data Scientist: Trey Causey

Trey Causey is a blogger with experience as a professional data scientist in sports analytics and e-commerce. He’s got some fantastic views about the state of the industry, and I was privileged to read this. 1. What project have you worked on do you wish you could go back to, and do better? The easy and… Continue reading Interview with a Data Scientist: Trey Causey