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Course

MGT-492: Data science and machine learning I

Summary

This class provides a hands-on introduction to data science and machine learning topics, exploring areas such as data acquisition and cleaning, regression, classification, clustering, neural networks, and visualization. The course consists of lectures and coding sessions using the Wolfram Language.

Lectures

Instructors (3)

Boris Thurm

Michail Vlachos

Karl Heinrich Schmedders

Official source

https://edu.epfl.ch/coursebook/en/data-science-and-machine-learning-i-MGT-492

Moodle Page

http://go.epfl.ch/MGT-492

About this result

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Summary

Lectures

Instructors (3)

Boris Thurm

Michail Vlachos

Karl Heinrich Schmedders

Official source

https://edu.epfl.ch/coursebook/en/data-science-and-machine-learning-i-MGT-492

Moodle Page

http://go.epfl.ch/MGT-492

About this result

Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Mathematical statistics

Mathematics

Algebra: Linear algebra

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