What is "machine learning"?
When a machine learns from its mistakes.
How did the IBM team employ that concept in the development of Watson's AI? What advantage did that provide over previous attempts at "intelligence"?
They gave it more than just situational rules. They gave it the ability to learn from its wrong answers.
I've often mentioned the term "Empirical Scepticism". What does that mean? How does that relate to the concept of Machine Learning? How does this relate to your life?
Empirical Scepticism, is when people with hands on knowlege critizie the theory. People can say they should make a computer that can learn, but programmers can point out all the laborius work that would go into that. We have only been taught the theory, so can't realy have Empirical Scepticism.
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