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Courses

2 available

Introduction to Machine Learning

From Data to Models

The foundations of machine learning — regression, classification, neural networks, and unsupervised learning — from first examples to working models.

8
Lectures

ML for Science

Data-Driven Modeling in Science & Engineering

Interactive lectures covering the foundations of scientific modeling, numerical methods, dynamical systems, and machine learning — from first principles to physics-informed neural networks.

15
Lectures

Machine Learning: from basics to scientific modeling

What leads to what. Start at the top; each row assumes the rows above it. Hover a lecture to see what it needs and what it leads to. 20 of 25 lectures are open so far.

Intro to ML ML for Science Foundations Not published yet

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