Introduction to Optimization and Machine Learning

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Introduction to basis of Optimization and Machine Learning. The goal is not show how to use "tools", but rather to make understand some principles of optimization, and machine learning algorithms.

Slides

Bibliography

• Daniele A. Di Pietro, Université de Montpellier, Cours master 1, "optimisation numérique" html
• Sebastian Ruder, "An overview of gradient descent optimization algorithms", arXiv, 2017. html
• Data Science : fondamentaux et études de cas, Machine Learning avec Python et R, Eric Biernat, Michel Lutz, Eyrolles, 2015.
• Artificial Intelligence: A Modern Approach, Fourth edition, 2020, Stuart Russell and Peter Norvig.
• Vincent Barra, Antoine Cornuéjols, Laurent Miclet, "Apprentissage Artificiel. Concepts et algorithmes. De Bayes et Hume au Deep learning", Eyrolles. Mars 2021.
• Formation d'Introduction au Deep Learning: FIDLE