Axionable

Data Engineers & Scientists sharing their experiences on different subjects going from dataops, data science, machine learning, climate sciences and geospatial techniques.

Luigia Ripani in Axionable

Jul 21, 2022

Tips to handle climate data with Python

2 responses

Gaël Charles in Axionable

Jul 1, 2022

What is Airflow? Read this overview before using it for the first time

Gwendal Bihan in Axionable

May 30, 2022

Acting with Data in Time of Crisis

Unfortunately, we are now living in an era of “permacrisis”, with the covid pandemic combined with…

Hadjer Moussaoui in Axionable

Feb 1, 2019

Hacking Deep Learning Models: you don’t even need a PhD nor a GPU

How DL models could be hacked? What…

1 response

Mouhamadou-Lamine Diop in Axionable

Jun 18, 2018

A methodology to perform time series analysis — Part 2

Authors: José Sanchez and Lamine Diop (same contribution)

1 response

Mouhamadou-Lamine Diop in Axionable

Jun 14, 2018

Explainable AI: The data scientists’ new challenge

Authors: Lamine Diop and Jean Cupe

Mouhamadou-Lamine Diop in Axionable

Jun 10, 2018

A methodology to perform time series analysis — Part 1

Jean Cupe in Axionable

Jun 7, 2018

Token ERCs in Ethereum: ERC-20, ERC-223, ERC-777 and ERC-721

An “Ethereum Request for Comments” — ERC — is the Ethereum’s version of Request For Comment (RFC) which is a memo for technical and organizational notes. Though, an ERC gives you some technical guidelines to work with and…

3 responses

Jean Cupe in Axionable

May 28, 2018

Fraud Detection Methodology: Using Autoencoders to reduce a manual labelling effort

This Article aims to describe a Fraud Detection with a minimum of labelling Effort. For this purpuse we use a public dataset from Kaggle. This dataset is based on credit card transactions…

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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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