Introduction to Module 3

This is an archived version of the course. Please see the latest version of the course.

Module 3

Evaluation

Introduction to Module 3
Evaluation set up
Cross-validation
Evaluation metrics
Quiz - evaluation, part 1
Imbalanced data distribution
Overfitting
Confidence intervals
Testing for statistical significance
Quiz - evaluation, part 2

Welcome to Module 3! In this lecture we will cover machine learning evaluation: how to set up your experiments, which evaluation metrics to use, how to measure the confidence in a particular result, etc.

The slides are available on Scientia. There you will also find optional exercises which you can try solving in order to practise the skills learned in this lecture.

This module is divided into 8 videos, and the first one starts here:

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