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MGT-529: Data science and machine learning II

Summary

This class discusses advanced data science and machine learning (ML) topics: Recommender Systems, Graph Analytics, and Deep Learning, Big Data, Data Clouds, APIs, Clustering. The course uses the Wolfram Language. Outcome: coding exercises in ML using real-data and a big ML project deliverable.

Lectures

Instructors (2)

Boris Thurm

Michail Vlachos

Official source

https://edu.epfl.ch/coursebook/en/data-science-and-machine-learning-ii-MGT-529

Moodle Page

http://go.epfl.ch/MGT-529

About this result

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Summary

Lectures

Instructors (2)

Boris Thurm

Michail Vlachos

Official source

https://edu.epfl.ch/coursebook/en/data-science-and-machine-learning-ii-MGT-529

Moodle Page

http://go.epfl.ch/MGT-529

About this result

Ontological neighbourhood

Statistics

Data analysis: Regression analysis

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