Fundamentals of Atomistic Machine Learning: Module 2

Courses

Speaker

Pablo M. Piaggi
CIC nanoGUNE

When

2025/05/13
14:00

Place

DIPC seminar room

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Basics of ML: Supervised and unsupervised learning. Common tasks such as regression and classification. Generative models. Loss function. Mini-batch gradient descent. Deep neural networks, kernel regression, and other algorithms.