Lecture

Logistic Regression

Description

This lecture covers the concept of logistic regression, starting with linear classification for k=2 and k>2 classes, and addressing the scenario when data is not linearly separable. It also discusses unsupervised techniques like SVD and PCA for dimensionality reduction.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_7srf803i

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Ontological neighbourhood

Information engineering

Machine learning: Topics in machine learning, Artificial neural networks

Data science: Topics in data science

Statistics

Data analysis: Regression analysis

Statistical inference: Mathematical statistics

Mathematics

Analysis: Complex analysis

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