Free short Webinar - Learn Data Science with XLSTAT: Supervised Machine Learning & Prediction, May 5, 2020

This is an elearning free session that lasts one hour. No need to step out of your office to attend!

The class includes a presentation as well as a 10-minute long Q&A session.

Supervised Machine Learning and Prediction

Supervised Machine Learning is the computation task of learning to predict a variable based on data. The predicted variable can be quantitative or qualitative. This webinar is an introduction to the supervised Machine Learning process. It also presents a few common algorithms such as Random Forests. It includes applications using the XLSTAT data analysis software.



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Trainers' profiles

Jean-Paul Maalouf

Senior statistics consultant

Jean-Paul Maalouf is a senior statistics consultant working at Addinsoft since 2014. He holds a PhD in biology and has a substantial experience in teaching statistics, an activity he has been intensively practicing since 2012. His training beneficiaries include major French research institutes (INRA, CNRS, INSERM, CIRAD, several universities) as well as private companies around the world. His teaching methods rely on explaining statistical tools conceptually rather than mathematically. Statistics become very easy to understand for the users who do not necessarily have experience in mathematics and need to become operational very quickly.