Learning & Decision Methods
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.
▶ AI Algorithms vs. Conventional Algorithms
▶ Evolution Towards AI: From Rules to Goals
▶ Direct Learning vs. Iterative Optimization
▶ Unsupervised Learning: From Recognition to Discovery
▶ Supervised vs. Unsupervised: We Teach Them or They Learn by Themselves