I am going to record my course notes for a basic machine learning course, Natural Computation Methods for Machine Learning ( 1DL073 ). There are some course notes and personal understanding. I will not show full slides and provide the e-book of literature. However I would possibly have misunderstanding and errors. You are welcomed to tell me. 😁
The literature is Andries P. Engelbrecht, Computational Intelligence: An Introduction, 2nd edition, Wiley, 2007.
This course is different from Machine Learning and Statistical Machine Learning. The 'natural computation method' is inspired from nature for developing novel methods. In this course, we will learn these parts,
- Neural basics and supervised learning
- Extensions and variants
- Reinforcement learning
- Unsupervised learning
- Evolutionary methods
- Swarm intelligence
There are various machine learning methods, and we will focus on natural computation methods in general and artificial neural networks in particular.