In this lecture we look at information gain (entropy reduction) as a mechanism for selecting an attribute test when learning a decision tree from data.
These videos are recordings of lectures from the module Introduction to AI run by The School of Computer Science at the University of Birmingham, UK.
More information at: cs.bham.ac.uk/internal/courses/intro-ai
Loading more stuff…
Hmm…it looks like things are taking a while to load. Try again?