Lecture

Overfitting: Symptoms and Characteristics

In course

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Description

This lecture delves into the concept of overfitting in polynomial regression, discussing symptoms, characteristics, and the importance of generalization in machine learning and statistics. The instructor explains how fitting data perfectly may not always lead to good generalization, using examples from deep neural networks and noisy data.

Official source

https://mediaspace.epfl.ch/media/0_4l93hc6x

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

Data science: Topics in data science

Signal processing: Digital image processing

Statistics

Data analysis: Cross-validation

Computer engineering

Software development: Software development process

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