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Fundamentals of Optimization and First Order Methods

Machine Learning Contextualisation
Review of Fundamentals of Convex Optimisation
First Order Methods Applied to Neural Networks

Second Order Methods and Large Scale Optimisation

Second Order Methods
Coordinate Descent Methods
Augmented Lagrangian Methods

Automatic differentiation and hyperparameter selection

Symbolic differentiation and computational graphs
Introduction to Bayesian Optimisation
- Example_9_1
- Case_study_9_1

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Review of Fundamentals of Convex Optimisation

Review of Fundamentals of Convex Optimisation#

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By Julián D. Arias-Londoño

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