Chapter 6 Coming to Terms with What AI Can and Cannot Do
Types and Techniques of AI
Machine learning (ML) models use algorithms to receive input data, learn patterns within the data, and make decisions or predictions based on those patterns. It’s like a child learning to recognize dogs – with exposure to various breeds, sizes, and colours of dogs, the child learns the commonalities that make a dog a dog.
As mentioned in the previous chapter, there are three important types of machine learning: supervised, unsupervised, and reinforcement learning.
Supervised learning is akin to learning with a teacher. It involves training an algorithm on a labelled dataset – a dataset where the desired outcome is known. For instance, ...
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