I’ve got an online course called Probabilistic Programming Primer You may be wondering what that’s all about, so I put together a video explainer all about it. Building easy to interpret models isn’t a nice to have anymore it is the reason people pay for models in the first place. And as we see more… Continue reading Introduction to Probabilistic Programming Primer
Author: Peadar Coyle
I help organisations understand, assess and execute on emerging opportunities in data science and machine learning. I've helped organisations from startups to larger organisations unlock value from their data in verticals such as Supply Chain Management, Advertising and Financial Services. I am happiest at the intersection of product, data science and engineering. My work has exposed me to working with sales people, legal (GDPR), risk and various other functions or cross-functional teams.If you're looking for a data scientist for some advisory work or technical due diligence, if you have a project in mind or are looking for me to do some writing or speaking, feel free to get in touch [email protected]
State of PPL: How are Bayesian methods used in industry?
I recently put together a survey of over 100 data scientists and analysts. There’ll be a report coming super soon, but before then I wanted to share the infographic. We’ll go into more detail in the report. If you’d like to get access to the report you should sign up here 70 percent of data scientists… Continue reading State of PPL: How are Bayesian methods used in industry?
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
Interview with a Data Scientist (Hadley Wickham)
(Repost from 2015) I recently interviewed Hadley Wickham the creator of Ggplot2 and a famous R Stats person. He works for RStudio and his job is to work on Open Source software aimed at Data Geeks. Hadley is famous for his contributions to Data Science tooling and inspires a lot of other languages! I include some light edits. 1.… Continue reading Interview with a Data Scientist (Hadley Wickham)
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?
Think you need to learn Bayesian Analysis? Read this first
Bayesian Analysis the good parts One of the questions I’m often asked is what’s so powerful about Bayesian analysis? I speak regularly to analysts, who’ve heard of some of the powerful aspects of it, but haven’t heard enough to emotionally invest time in learning it. I’ve thought about this on and off for a few… Continue reading Think you need to learn Bayesian Analysis? Read this first
2018: Year in Review
I did a review like this in – 2017 It’s fun to look back on what I’ve learned and what I’ve accomplished. This will be contracting focused and side projects focused. (Appologies to Julia Evans, I basically just stole her format) I got married! I won’t embarrass my wife online. But this year, after a… Continue reading 2018: Year in Review
3 reasons to learn Bayesian Statistics in the new year
What is Bayesian Statistics Bayesian Statistics (or Probabilistic Programming) take a more effective and deep approach to perform analysis of any given data and situation. A/B testing is one of the hottest topics on the internet nowadays. In this testing, you simply consider two different groups, A and B, to analyze the performance of both… Continue reading 3 reasons to learn Bayesian Statistics in the new year
Applications of Bayesian Statistics: Supply Chain
Bayesian Statistics and Supply Chain Supply Chain can be thought of as a set of procedures that are coordinated to combine manufacturers, suppliers, warehouses, and stores in order to ensure proper production and distribution of material of right quantities at the right location and in right time. This, in turn, ensures that the total supply… Continue reading Applications of Bayesian Statistics: Supply Chain