Our Insights

Power BI Best Practices

This whitepaper provides a set of best practices to consider/ implement in Power BI Reports, allowing users to obtain and provide the best value from the data....

Neural Networks
Part 1: Features of a Neuron

This is the first of a series of posts to explain what we mean by Neural Networks.  We will also introduce the mathematics. ...

Neural Networks
Part 2: Training

This is the 2nd of a series of posts explaining neural networks.  In our 1st post we introduced the math. In this post we will consider training a neuron....

Neural Networks
Part 3: Back Propagation

In this post we build on the previous posts to explain the back propagation algorithm for training neural networks by deriving it mathematically....

Polynomial Regressions. Theory, Mathematics and how to Calculate Them.

We show an algorithm to calculate polynomial regression. We explain the theory and the mathematics and then illustrate the topic with some worked examples....

Compute Problems when Fuzzy Matching

We show the main problem when computing fuzzy text matches between text strings and suggest strategies for solving the problem....

Our Founder´s Top Tips For Success

Our founder tells some stories from his past to illustrate his top tips for success in data science....

Logistic Regression

We show the mathematics behind performing a logistic regression and explain how to calculate one using a worked example with illustrations....