Lecture

Machine Learning Phases

Description

This lecture covers the phases of machine learning, including the training set, validation set, and test set used to train and evaluate models. The instructor explains how the validation set is crucial for tuning hyperparameters and finding the best model, which is then tested using a separate test set.

In MOOC

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_i9n1xlyc

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Ontological neighbourhood

Statistics

Data analysis: Cross-validation

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