Feb 23, 2021
I would like to tell you a story. I was trying to understand a bug. I spent maybe 5 pomodoros on it. Pomodoro is a technique that helps you to stay focus. I couldn't find the root cause of my bug. I was quite frustrated but still motivated. I decided to stop my session of pomodoros and left my work for the day. I went to my beautiful cat and started petting her. I was starting relaxing when at a sudden I got the solution to my bug.
Feb 16, 2021
Code standardisation inside the same team is important. There are different ways to achieve this goal. In this newsletter, I also would like to talk about MLOps and the way Databricks presents that.
Feb 03, 2021
Once, I've assessed different recommendation systems through AB tests. They were black boxes for me. I've decided to focus my recent techno watch on recommendation systems. I wanted to understand better these black boxes. There are many ways to do recommendation systems. The solutions depend on your context and needs. In this newsletter, I also would like to talk a bit about the roles of data engineers or machine learning engineers.
Jan 18, 2021
This week, I'm sharing some resources I recently read about the past, present and, possible future of AI and ML. What have we done with AI? What can we do? And what can we hope we will be able to do?
Jan 06, 2021
As a data scientist, data engineer or, machine learning engineer, you sometimes have to deal with Kubernetes, this strange tool to orchestrate containers. This is why this is the main subject of this issue.
Dec 23, 2020
It's not easy to start when doing machine learning. This is why I would like to highlight some useful resources to get an idea of what a data science project looks like from end to end.