Useful online resources to start

Fundamentals of machine learning - with particular focus on Neural Network architectures - for mechanics and materials applications. 

The first version of these slides was shared on 17/01/2024, and it was last updated on 24/01/25. 

Note that this serves as intro to the FCNN slides (the ones below) - so many other cool topics in ML (e.g. Gaussian Processes!) are not discussed. 

 I would be happy to receive your feedback for improving this slides deck (and yes, normally the slides are presented with transitions : )) and to know if they have been useful.

All you needed to start understanding Fully Connected Neural Networks in 41 slides 

The first version of these slides was shared on 10/01/2024, and it was last updated on 28/01/25. 

 I would be happy to receive your feedback for improving this slides deck (and yes, normally the slides are presented with transitions : )).

All you needed to start understanding Convolutional Neural Networks in 45 slides

The first version of these slides was shared in January 2024, and it was last updated on 30/01/25. 

I would be happy to receive your feedback for improving this slides deck (and yes, normally the slides are presented with transitions : )).

A concise summary of what is Scientific ML, Physics-Enhanced ML and the use of PINNs for ODE and PDE investigations... with application in mechanics and materials in 42 slides!

First shared on 31/01/2024, last updated in 02/25
I would be happy to receive your feedback for improving this slides deck (and yes, normally the slides are presented with transitions : )). If anything is missing, or is not clear, please, let me know. 

Note:

•  the material builds up on the content of the slides deck share before this on Intro to ML, FCNN and CNN

• there is also an entire page dedicated to PEML in this website.