Demystifying Machine Learning

COMP60028 Spring Term 2024/2025

book home

Lesson 4

Linear Classification

  • [1] Episode 1 - Introduction
  • [2] Episode 2 - The Curse of Dimensionality
  • [3] Episode 3 - Linear Classifiers
  • [4] Episode 4 - Logistic Regression
  • [5] Episode 5 - Loss Function for Logistic Regression
  • [6] Episode 6 - Gradient Descent Revisited
  • [7] Episode 7 - Artificial Neurons
  • [8] Episode 8 - Multiclass Classifiers
  • [9] Episode 9 - Cross Validation
  • [10] Episode 10 - Learning Curves
  • [11] Exercise 4 - Linear Classification

Chapter : Lesson 4

Episode 1 - Introduction

face Josiah Wang

Welcome back machine learners!

Still excited to learn more about machine learning? Here we go!

Again, the topics in this lesson are fundamentals that proper machine learners should know!

Previous Next

Page designed by Josiah Wang

Department of Computing | Imperial College London