Week05

Interactive session, Monday Feb 17

Screencast

Weekly lecture:

Slides: Perceptron and Linear Regression

Syllabus:

• Marsland, Machine Learning
  • Ch. 3 Neurons, Neural Networks, and Linear Discriminants
    • except the proof in sec. 3.4.1 The Perceptron Convergence Theorem

Lecture videos:

1. Introduction
2. Brain and the Perceptron
3. The Perceptron Algorithm
4. Linear Regression
5. Gradient Descent

Weekly exercises

• Exercises
• Solution proposals

Background on Vectors and Matrices

Reading:

• Geometry and Linear Algebra for IN3050/IN4050

Slides: linear algebra concepts and Python implementations for machine learning

Video recordings:

1. Vectors
2. Matrices