InstanceBasedLearning.md (605B)
1 # Instance Based Learning 2 3 ML CH1 4 5 **Definition:** Instance based learning is a system by which we identify information and when it occurs again, we are able to detect it. 6 7 Think of a spam filter. Something is marked as spam, if the exact same message is seen again, it will be marked as spam because last time it was. 8 9 This can be thought of like a hash map. When hashing an input, if it exists as some bad data or whatever, then we do the same thing. 10 11 This can also be implemented differently by searhing for similarities instead of exact matches to catch possible single pixel/character differences.