Lecture

Machine Learning Fundamentals

In course

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Description

This lecture covers the basics of machine learning, including algorithms that provide knowledge to computers through data, observations, and interaction with the world. Topics include supervised classification, k-nearest-neighbor classifier, perceptron, logistic regression, maximizing the margin, and non-linearly separable data.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_ksre4h95

About this result

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks, Topics in machine learning

Statistics

Data analysis: Regression analysis

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