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Axionable
Data Engineers & Scientists sharing their experiences on different subjects going from dataops, data science, machine learning, climate sciences and geospatial techniques.
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Climate adaptation : from model projection to concrete applications with downscaling
Climate adaptation : from model projection to concrete applications with downscaling
Introduction
Paul Etienne Mallet
Sep 5
Tips to handle climate data with Python
Tips to handle climate data with Python
The urge to tackle climate change issues takes hold also in the world of data and AI, where on one hand providers of open climate and…
Luigia Ripani
Jul 21, 2022
What is Airflow? Read this overview before using it for the first time
What is Airflow? Read this overview before using it for the first time
Everything that needs to be known before using the tool for the first time.
Gaël Charles
Jul 1, 2022
Acting with Data in Time of Crisis
Acting with Data in Time of Crisis
Unfortunately, we are now living in an era of “permacrisis”, with the covid pandemic combined with the damages of climate change and the…
Gwendal Bihan
May 30, 2022
Hacking Deep Learning Models: you don’t even need a PhD nor a GPU
Hacking Deep Learning Models: you don’t even need a PhD nor a GPU
How DL models could be hacked? What are the existing defensive methods? are they completely satisfactory?
Hadjer Moussaoui
Feb 1, 2019
A methodology to perform time series analysis — Part 2
A methodology to perform time series analysis — Part 2
Authors: José Sanchez and Lamine Diop (same contribution)
Mouhamadou-Lamine Diop
Jun 18, 2018
Explainable AI: The data scientists’ new challenge
Explainable AI: The data scientists’ new challenge
Authors: Lamine Diop and Jean Cupe
Mouhamadou-Lamine Diop
Jun 14, 2018
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