Xavier Geerinck

A Multi-Language Reinforcement Learning Digital Twin Environment

One of the ideas I have been playing around with the last couple of months is the combination of Digital Twins and Reinforcement Learning. This is an experimental idea where I would love to hear your opinions about it (feel free to comment below, send me an email or reach out to me on Social Media such as Twitter / LinkedIn), and that will be refined over the coming months.

Dapr - Creating a User Login/Register Microservice

In an earlier post, I went in more detail how you can utilize Dapr to create a Microservice that communicates over gRPC for quick Inter-Process Communication (IPC).

Revamping my Blog with NextJS (2020)

Due to the current COVID crisis I had some time to start revamping my blog, focusing on achieving features that were not possible before. All while still keeping the costs to a minimum (or even free). Here I would like to explain how I achieved just this, with the focus on adding the following features:

Azure Optimization Tips and Tricks

For most businesses out there it are hard times due to the recent crisis, causing a lot of pressure on optimizing OPEX costs as much as possible. That's why I would love to help all of you out there with some quick tips and tricks on how you can keep your spendings to a minimum on the Azure platform, or how you are able to gain quick benefits.

AI Battlecards - End to End Process for building and evaluating AI models

A couple of months ago it struck me that my personal knowledge in AI could be improved quite a bit. That's why I took the time to brush up on the different concepts ranging from data gathering until the evaluation of a deployed model.

Getting started with Dapr, Python and gRPC

The cloud war is heating up and one of the main challenges is the fear of lock-in created by these providers. Helping the raise of Kubernetes as a provider, since this allows customers to quickly move between one and the other (a deployment is a deployment, no matter the cloud you run it on.).

Act in realtime on IoT Data without writing any code through Azure IoT Hub, Event Grid, Cosmos DB and Logic Apps

Creating a realtime application is quite trivial, you most of the time take in all the events and put a dedicated processor on there that will process the incoming events for you. But what if you would like to make things a bit more interesting and develop this entire path completely serverless without writing any code, but still ensuring a response of seconds rather than minutes?

Artificial Intelligence - How to measure performance - Accuracy, Precision, Recall, F1, ROC, RMSE, F-Test and R-Squared

We currently see a lot of AI algorithms being created, but how can we actually measure the performance of these models? What are the terms we should look at to detect this?

Web2Text - Deep Structured Boilerplate Removal - Running the Code