Unmasking Confidential Data in ML Models with Membership Inference Attacks
(This article is a transcript in English of one of my french LinkedIn posts) MIA, or Membership Inference Attack, is a technique that lets you determine w...
Recent Posts
Are you ready for the Machine Unlearning challenge ?
(This article is a transcript in English of one of my french LinkedIn posts) Have you heard about the Machine Unlearning challenge? It's an ethics-o...
Should we redefine our conception of intelligence ?
(This article is a transcript in English of one of my french LinkedIn posts) We will undoubtedly have to redefine our conception of intelligence. Wi...
The importance of monitoring LLMs performances in production
Is ChatGPT becoming less capable over time? (This article is a transcript in English of one of my french LinkedIn posts) This is what a recent Stanford s...
The Data Scientist made ChatGPT and ChatGPT undid the Data Scientist.
(This article is a transcript in English of one of my french LinkedIn posts) The headline is deliberately provocative... Nevertheless, I observe that in...
What are Data Drift and Concept Drift in Machine Learning ? MLOps Simply explained.
Once you have trained a successful machine learning model that meets the standards you want to achieve, you can celebrate it ! However, this is far from b...
Mutual information simply explained with example and code - A generalization of the correlation concept.
Mutual information is a very nice statistical tool that can be seen as a generalization of the correlation concept. Indeed, the pearson's correlation allo...
Code Hack - How to render images inside a pandas DataFrame ? Super cool trick with an advanced bonus :)
Have you ever wondered if there was an easy way too render images inside a pandas DataFrame ? How cool would it be to simply write down something like ren...
Intuitive explanation of bayes theorem – Part 2/2
In my previous article about Bayes theorem I attempted to explain in a simple way the main ideas behind the formula. Today, let's take it to another level...
Intuitive explanation of bayes theorem - Part 1/2
One of the most important formula in statistics is perhaps the bayes theorem. Many people see this formula as somewhat magical and struggle to understand ...
Deploy a sentence transformer model on AWS Lambda via Docker
Today, let's dive into the beautiful (and sometimes very painful) world of deployment. This is really when things start to be very exciting as a you gener...
What is Entropy ? — Intuitive explanation with code.
You may be familiar with variance, it is a useful measure when looking for how spread the data is. When I say spread, I'm referring to the dispersion of d...
Understanding decorators in Python with a case study
What are decorators ? Today, I would like to speak about decorators. This is quite an advanced technique in Python but you'll see that it's not a v...
Cosine similarity: an Intuitive and simple explanation
Cosine similarity is one of the most important metric in Natural Language Processing. It is most often used to quantify a distance between two embedding...
Understanding projections - They are everywhere in Machine Learning !
These days I felt like writing an article about projections. Simply because I noticed that projections are one of these mathematical tools that people dai...