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If you made a good hypothesis, you would predict the correct answer.

You are making a generalization, but it might not be right

generalize the information

looking at a subset of observations at drawing a general conclusion

limited information and make your best generalization.

formal inductive reasoning we will make generalizations that must be true for the situation in question

how we verify our observations generalize

base case is a specific point of data we know the answer to

If you made a flawed hypothesis you would predict the wrong answer.

generalized the information you had to the jelly beans you didn’t know about

justify why

Turing Machine

simple computer that can do anything that a computer can do

any algorithm that can be run on a general purposed computer

Turing Completeness

Any program that can simulate a Turing Machine can run any algorithm a general purpose computer can

confidence about the generalization

needed one program that worked on both systems

definative prediction

decision tree is a collection of questions that is used to make a decision.

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