Liens

Python

• Python Packaging User Guide (Python Packaging Authority)

Machine learning & Data science

• dashboards with Panel

• Mathematical fundations for ML (Gabriel Peyr)

• User guide (scikit-learn)

• Site de Xavier Dupré

• Bayesian Methods for Hackers (Cameron Davidson-Pilon)

• Exercices pratiques (Marie Chavent - Bordeaux)

• Cours science des données (François Husson - Agrocampus Rennes)

• Machine Learning for Beginners - A Curriculum (Microsoft)

• Optimisation, apprentissage statistique (Francis Bach - ENS et Paris-Sud)

• ML/DL with fastai and Pytorch (Jeremy Howard, Sylvain Gugger)

• Computational and Inferential Thinking: The Foundations of Data Science (Ani Adhikari, John DeNero - NYU)

• Wikistat (Philippe Besse, Brendan Guillouet - INSA Toulouse)

Deep learning

• Dive into Deep Learning (Aston Zhang, Zack C. Lipton, Mu Li, Alex J. Smola)

• Deep Learning (Yann LeCun, Alfredo Canziani - NYU)

• Hugging Face Course (NLP, transformers) (Carrigan, Debut, Gugger)

• Deep Learning Do It Yourself! (Marc Lelarge, Jill-Jênn Vie, Andrei Bursuc - ENS, X)

Optimisation

• Optimisation pour l’économie (Laurent Guillopé - Université de Nantes)

• Optimization for Data Science (Yaoliang Yu - University of Waterloo)

Informatique graphique

• Ray Tracing in One Weekend (Peter Shirley - Nvidia)

• Accelerated Ray Tracing in One Weekend in CUDA (Roger Allen - Nvidia)

Cryptographie

• Site de Pascal Molin

Javascript

• Tensorflow.js

• MDN (Mozilla)

• javascript.info

• Tutoriels D3.js