Ep. 13 : Data Science in Healthcare – An Epidemiological Perspective With The COVID-19

In the 13th episode of our podcast, We talked with Soufiane Ajana, PhD in Machine Learning for Public Health, Epidemiologist and Data Scientist. We chatted about his academic and professional experience as well as how data science can benefit public healthcare and stop the spread of COVID-19.

Enjoy the episode on SpotifySoundcloud,

Or on YouTube :

Here is a video where Soufiane summarizes in 3 minutes his research work: https://www.youtube.com/watch?v=F-ZoMPCmP7E

Mentioned resources :

– Hands on Machine learning with scikit-learn and tensorflow: Aurélien Géron

– Statistiques-épidémiologie: Thierry Ancelle

– Comprendre et utiliser les statistiques dans les sciences de la vie: Bruno Falissard

– Introduction to statistical learning With Applications in R: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

– Elements of statistical learning : Trevor Hastie, Robert Tibshirani, Jerome H. Friedman

Youtube courses:

– Machine learning course (Yaser abu-mustafa) : https://www.youtube.com/watch?v=mbyG85GZ0PI&list=PLvx5ei9aEEqKgDZ7oaQGSToFi-QER4v1M

– Linear algebra course (Gilbert Strang): https://www.youtube.com/watch?v=7UJ4CFRGd-U&list=PLE7DDD91010BC51F8

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