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It is very hard
to write programs that solve problems like
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recognizing a
face.
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We
dont know what program to write because we dont
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know
how its done.
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Even
if we had a good idea about how to do it, the
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program
might be horrendously complicated.
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Instead of
writing a program by hand, we collect lots of
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examples that
specify the correct output for a given input.
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A machine
learning algorithm then takes these examples
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and produces a
program that does the job.
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The
program produced by the learning algorithm
may
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look
very different from a typical hand-written program. It
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may
contain millions of numbers.
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If
we do it right, the program works for new cases as well
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as
the ones we trained it on.
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