Lecture

Data Representations & Processing

In course

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Description

This lecture covers data representations and processing, including overfitting, model selection, cross-validation, regularization, kernel ridge regression, and finding the right regularization strength. It also discusses the Bag of Words model, data normalization, cleaning noisy data, and learning with imbalanced data. The instructor explains sampling methods, empirical risk, sample re-weighting, and transitioning from handcrafted representations to learned ones.

Instructor

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Official source

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

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Ontological neighbourhood

Statistics

Data analysis: Cross-validation

Data collection: Statistical sampling

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