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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.

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…
Go to the profile of Luigia Ripani
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.
Go to the profile of Gaël Charles
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…
Go to the profile of Gwendal Bihan
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?
Go to the profile of Hadjer Moussaoui
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)
Go to the profile of Mouhamadou-Lamine Diop
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
Go to the profile of Mouhamadou-Lamine Diop
Mouhamadou-Lamine Diop
Jun 14, 2018
A methodology to perform time series analysis — Part 1

A methodology to perform time series analysis — Part 1

Authors: José Sanchez and Lamine Diop (same contribution)
Go to the profile of Mouhamadou-Lamine Diop
Mouhamadou-Lamine Diop
Jun 10, 2018
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