Back from the 2026 Databricks Data + AI Summit
A recap of the Databricks Data+AI Summit 2026 in San Francisco, covering the keynote announcements from Genie ONE and the AI Gateway to Reyden and...
Read more →Artificial Intelligence
Machine learning, AI systems, MLOps, model deployment, and AI best practices
A Guide to Python Packaging
A practical walkthrough of Python packaging: project layout, pyproject.toml, publishing to PyPI, testing with pytest, documentation with Sphinx, and CI/CD with GitHub Actions illustrated through...
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Text Embeddings in Practice: Building a Cold-Start Content Recommender
A practical walkthrough of text embeddings from fundamentals to production — covering model selection, vector storage, similarity metrics, and validation through a real cold-start content...
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Rebuilding My Blog with Vibe Coding: Experiment and Reflections
I spent a weekend rebuilding my Jekyll blog using Claude Code and vibe coding. The result? A functional website in days instead of months. But...
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Parsing HTML with LLMs: An Arthurian Quest
Building a French TV show dataset using LLMs for HTML parsing, comparing zero-shot and few-shot prompting, and exploring fine-tuning for data extraction.
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Let's Train a Suika Game Master: Crafting the Playground
Building a machine learning playground for the Suika Game using physics simulation, creating baseline agents, and setting up an experiment framework.
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Exploring French podcast transcription with OpenAI Whisper
Experimenting with OpenAI's Whisper to transcribe French podcasts, comparing different deployment strategies, and benchmarking costs and performance.
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Cold Start No More: Using transformers to build decks in Marvel Snap
Tackle the cold start problem in recommender systems using transformers. Build a Marvel Snap deck recommendation system handling new cards with embedding techniques.
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Design and version your ML workflow with DVC (Kaggle competition)
For a few months, I wanted to test DVC, a toolkit around versioning for ML projects built by iterative. I tried it a bit at...
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Start your time-serie project (analysis, forecast and anomaly detection) with Kats
Recently I heard about a package developed by Facebook research (META research !?) called KATS, released by Facebook's Infrastructure Data Science team end of last...
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Build a ventilator pressure predictor for Google Brain
I wanted for a long time to participate thoughtfully in a Kaggle competition ( I think I made some tests a few years ago but...
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Tune your machine learning workflow with weights and biases, mljar automl, hyperopt, shapash and evidently
I wanted to write for a few weeks around ml/ds libraries that I have on my backlog of things to try. One article per library...
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Be more productive and self-sufficient to produce ML applications with AWS Sagemaker
In this article, there will be an overview of the service of AWS Sagemaker. The idea will be to see from my DS perspective how...
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Time-series forecasting and causal analysis in R with Facebook Prophet and Google CausalImpact
This article will be part of my annual dive in R; the idea will be to use two R libraries in time-series forecasting and causal...
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Introduction of TensorFlow 2.0
In this article, I am going to present some of my findings on my exploration of TensorFlow, the idea will be with TensorFlow to build...
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Music information retrieval with LibROSA and Beat Saber
In this article, I am going to illustrate some of the works around music information that I work since the past few weeks applicated to...
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Be more efficient to produce machine learning pipeline with Metaflow
For this article, I am going to describe my hands-on on a new library that has open-sourced recently by Netflix to operate and version machine...
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Be more effective to produce machine learning models with mlflow
The version used for this article is mlflow 1.4.0
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Crossfit Games - Retrospective of the Open 2019
Hello, the season of the Open starts again this year (once again !?) so I am writing this article to:
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Analysis of the energy performance certificates with Dataiku DSS
Since I published the article on the London smart meter and the possible analysis of the data, I am receiving regularly messages of people that...
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Analysis of smart meter data in London (UK)
Hello, the goal of this article is to offer a clear description of the dataset that I uploaded in November 2017 on Kaggle followed by...
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Make a forecast system of the French national energy consumption
Hello readers, for this article I am going to explain my approach to create a forecast system of the French (metropolitan) energy consumption. This kind...
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