What is "machine learning"?
Learning from examples.
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"?
By having the machine learn from examples it can create patterns that will help it figure out things out for themselvs. This facilitates the IBM teams job because somethings are to difficult to explain like "what is the letter A" it's easier to show it many examples of a letter "a".
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 questioning beliefs on the basis of scientific understanding. You learn off of trial and error and it seems that machine learning is learning from examples and everytime watson has a mistake he corrects it and tests it.
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