MGT-448: Statistical inference and machine learning

Summary

This course aims to provide graduate students a thorough grounding in the methods, theory, mathematics and algorithms needed to do research and applications in machine learning. The course covers topics from machine learning, classical statistics, and data mining.

Official source

https://edu.epfl.ch/coursebook/en/statistical-inference-and-machine-learning-MGT-448

Moodle Page

http://go.epfl.ch/MGT-448

About this result

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis, Cross-validation

Information engineering

Machine learning: Topics in machine learning, Artificial neural networks, Decision tree learning

Data science: Topics in data science

Mathematics

Algebra: Linear algebra

Mathematical logic: Set theory

Instructor

Lectures in this course (47)

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