What is "machine learning"?
The ability for a machine to learn from it's mistakes. AI.
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"?
This "machine learning" gives Watson a real advantage over other machines because it can learn from it's mistakes. Ex: when Watson didn't get a context clue in a jeopardy question, and that caused him to get it wrong; in the following question he was able to analyze the question and get it right.
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 means to suspend judgement and to embrace doubt in order to work harder for a better result. This relates to machine learning because they saw doubt in Watson, but they worked harder to make him better.
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