A computer program is said to learn from experience e with respect to some task t and some performance measure p if its performance on t, as measured by p, improves with experience e. Suppose we feed a learning algorithm a lot of historical weather data, and have it learn to predict weather. In this setting, what is t?
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Quetion :- A computer program is said to learn from experience e with respect to some task t and some performance measure p if its performance on t, as measured by p, improves with experience e. Suppose we feed a learning algorithm a lot of historical weather data, and have it learn to predict weather. In this setting, what is t?
Answer :- The probability of it correctly predicting a future date's weather.
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