Xavier Geerinck

An annoying part in working with classification, regression or other AI algorithms is that you always need to write a lot of code, prepare your data and do other steps before you are

A common problem when working with real-time streams is that you are unaware of the data going in there due to the vast amount of systems connected to it and producing data. Therefor

While working with Azure Data Lake Gen 2 (ADLS Gen 2), I saw that one common ask from the people around me is to be able to interact with it through a web

Quantum Computing is a hype growing more and more these days, but what is it? Why should we use it and how can we get started with it? This is what I would

SQL Server 2019 came out in preview a while ago, and the new features announced are just wonderful! A one-to-go-tool for all your big data needs: Unstructured and Structured data that can be

Quantum requires a lot of Linear Algebra, so much even that it’s very interesting to have a quick reminder about it. In here I will explain the basics of Linear Algebra that are

A common something that you want to do in Databricks is hide your passwords and other confidential information in it, because else it will all be visible within your notebooks and logs. Installing

This is going to be quite a short post, but is more intended as reference :) Something I found to be quite interesting is sending emails through Databricks to warn me when something

When I tell people that I had 5 startups (yes, see my projects), worked for 2, graduated 1.5 years ago as a Industrial Engineer in Computer Science and straight out of school got

Facebook decided to open-source the platform that they created to solve end-to-end Reinforcement Learning problems at the scale they are working on. So of course I just had to try this ;) Let’s