Master Class - "Scikit-learn: the open toolbox for machine learning"

Scikit-learn is a reference machine learning library created by Inria, with applications ranging from medical imaging to fraud detection and product recommendation.

• Used by more than 80% of data scientists, according to Kaggle's "2021 State of Data Science and Machine Learning" survey.

• More than 2000 contributors worldwide.

What will I discover in the Master Class? 

In this informative Master Class, we will present the type of problems that machine learning can solve and which of them can be addressed using this library.

Arturo Amor holds a PhD in theoretical physics from the Institute of Nuclear Sciences of the Universidad Nacional Autónoma de México (UNAM). He continued his research in the same field as a postdoc at the École Polytechnique, France. Research engineer at Inria in the SODA project-team at the Inria Saclay Centre, and part of the documentation team of the scikit-learn library, his main task is to maintain the documentation and make it more accessible to all types of users.