Demystifying Machine Learning

COMP60028 Spring Term 2024/2025

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Lesson 2

Revisiting the Machine Learning Pipeline

[1] Episode 1 - Introduction
[2] Episode 2 - Input Data
[3] Episode 3 - Data Annotation
[4] Episode 4 - Feature Encoding
[5] Episode 5 - K-Nearest Neighbours Algorithm
[6] Episode 6 - Bias-Variance Tradeoff
[7] Episode 7 - Train and Test Distributions
[8] Episode 8 - Baselines and Confusion Matrices
[9] Episode 9 - Recap
[10] Exercise 2 - The Machine Learning Pipeline Revisited

Lesson 2

Revisiting the Machine Learning Pipeline

Let's revisit the machine learning pipeline and explore more details of each component!

I want to revisit that

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Page designed by Josiah Wang

Department of Computing | Imperial College London