CS-439: Optimization for machine learning

Summary

This course teaches an overview of modern optimization methods, for applications in machine learning and data science. In particular, scalability of algorithms to large datasets will be discussed in theory and in implementation.

Official source

https://edu.epfl.ch/coursebook/en/optimization-for-machine-learning-CS-439

Moodle Page

http://go.epfl.ch/CS-439

About this result

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Ontological neighbourhood

Mathematics

Analysis: Numerical analysis

Theoretical computer science

Algorithms and data structures: Combinatorial optimization

Instructors (2)

Lectures in this course (20)

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