/Brian Mac Namee

About Brian Mac Namee

Dr. Brian Mac Namee, Director of Training at the Analytics Store, has over 14 years experience in analytics lecturing, training, and consultancy. With particular expertise in analytics fundamentals Dr. Mac Namee has delivered analytics training nationally and internationally for large organisations.

SAS Institute and The Analytics Store Join Forces to Work with Organizations to Build In-house Analytics Capabilities

LinkedIn’s recent analysis of the Global Top Skills of 2016 revealed that statistical analysis and data mining was the #2 most demanded skill by Irish employers last year. To meet this demand for analytics and data science talent, SAS Institute and The Analytics Store are joining forces to work with organizations who want to build [...]

Machine Learning for Data Enrichment

Most of the time when we talk about machine learning projects we talk about building predictive models that generate insights that directly help someone to make a decision - for example using churn prediction to identify the customers that a retention team should contact, using fraud detection to decide which cases to investigate, or using [...]

6 Nations Bonus Points: What does the data say?

In 2017 bonus points will be awarded for the first time in the 6 Nations rugby tournament. The motivation behind this is to encourage attacking rugby by rewarding teams (winning or losing) that score multiple tries and losing teams that stay close to their opponents. We wondered if this new system would have made a [...]

By |2018-07-11T16:12:33+00:00February 23rd, 2017|Analytics, Sabremetrics, Tools & Techniques|0 Comments

12 Days of Data Analytics: Day 11 – Christmas Podcasts Ahoy

Here at The Analytics Store we have been big fans of the What's the Point? podcast from fivethirtyeight for a long time. We're big fans of the broad coverage of data analytics and what people do with it, rather than a narrow focus on details of data analytics techniques. Since hearing that (as they said [...]

By |2018-07-11T16:12:34+00:00December 22nd, 2016|Analytics, Business, DataViz, Industry, Machine Learning|0 Comments

12 Days of Data Analytics: Day 10 – Form Vs. Function

Whenever we teach data visualization at some point a discussion arises where students ask should I put my time into making my visualization look nice, fancy, sophisticated, ... or should I focus on something simple that does the job? I always argue that something simple that does the job is the way to go. I often quote Jason [...]

By |2018-07-11T16:12:34+00:00December 20th, 2016|Analytics, Creative, DataViz, Design|0 Comments

12 Days of Data Analytics: Day 9 – No Such Thing As A Free Lunch

I used to be confused when people talked about No Free Lunch theorems in machine learning. The gist of this idea is that no one machine learning algorithm will ever be best for all modelling problems. I always thought that this would be better described as No Silver Bullet or Can't Win Them All. This [...]

By |2018-07-11T16:12:34+00:00December 18th, 2016|Analytics, Machine Learning, Predictive Analytics|0 Comments

12 Days of Data Analytics: Day 8 – Pay Attention!

One of our favourite Christmas traditions is geeking out on the Royal Institution Christmas lectures in the days following Christmas (this year's lectures will be on BBC Four at 20:00 on 26th, 27th and 28th December). Previous lectures have focused on all kinds of interesting subjects including artificial intelligence, astrophysics, psychology, chemistry and animal behaviour [...]

By |2018-07-11T16:12:34+00:00December 16th, 2016|Analytics, DataViz|0 Comments

12 Days of Data Analytics: Day 6 – Stay Colour Safe

In a previous job at a large multi-national company I was developing a piece of software to visualise the internal workings of a machine learning solution developed to distinguish between good and bad parts on a production line. I had used a neat multi-dimensional visualisation solution based on a force directed layout that showed datasets [...]

By |2018-07-11T16:12:35+00:00December 12th, 2016|Analytics, DataViz, Design|0 Comments