AI in Context: Learning & Decision Methods
Explore how computational systems learn, adapt, search, and make decisions.
Why Learning & Decision Methods?
Intelligence is not achieved through a single method.
Different computational approaches provide different ways of learning from experience, finding solutions, adapting to changing conditions, and making decisions.
This section explores these approaches and how they can complement one another.
The emphasis is on understanding the underlying ideas and seeing them work in practice.
Topics Covered
This is an evolving collection. Topics and material will be added as the project develops.
▶ Support Vector Machine (SVM)
▶ Unsupervised Learning: From Recognition to Discovery