Machine Learning Fundamentals

In course

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Description

This lecture introduces key concepts in machine learning, such as inferring information from data, independent component analysis, and supervised, unsupervised, and reinforcement learning. It covers examples of algorithms and techniques used in image analysis and data mining.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_vqhh1iql

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks, Unsupervised learning

Data science: Dimensionality reduction

Statistics

Data analysis: Regression analysis

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