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Unfair biases in Machine Learning: what, why, where and how to obliterate them

An overview of machine learning fairness This article introduces machine learning fairness, to give the reader a vision of the whole...

Paul Irolla

Apr 13, 202011 min read

Training a model is costly: collecting a mass of relevant samples, preprocessing data to solve a specific problem, finding an effective...

Paul Irolla

Dec 23, 20193 min read

An adversarial example is a sample of input data which has been modified very slightly in a way to perturb machine learning predictions.

GREGORY CHATEL

Sep 24, 20198 min read

Machine Learning (ML) is currently being integrated in the process of many technological domains, in particular where confidential data...

Paul Irolla

Sep 20, 201914 min read