Actuarial Data Science

Bridging the Gap between Actuarial and Data Science

Wed 17 April 2019

Standard deviation vs standard error

Posted by Pieter Marres in Articles   

In texts on statistics and machine learning, we often run into the terms standard deviation and standard error. They are both a measure of spread and uncertainty. In this post, we perform three experiments to see how standard deviation and standard error work in practice and how they relate to each other

Read more...


Fri 22 February 2019

Actuarial Intelligence

Posted by Pieter Marres in Articles   

When it comes to exploring and applying new models and techniques, our profession is much too circumspect. But we are missing opportunities, as Artificial Intelligence is nothing without Actuarial Intelligence.

Read more...




Fri 28 December 2018

PCA from several perspectives

Posted by Pieter Marres in Articles   

Principal Component Analysis (PCA) is a useful technique when you want to get a better understanding of a dataset containing a large number of correlated features. For example, in image processing, PCA is used for data compression. The main objective is to reduce the complexity of the data with a minimum loss of information.

Read more...