Coursera | Machine Learning


Introduction >> Machine Learning

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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. What would be a

reasonable choice for P?

1 point

learning algorithm to predict tomorrow’s temperature (in

degrees Centigrade/Fahrenheit).

Would you treat this as a classification or a regression problem?

1 point
1 point

learning algorithm, and the others with an unsupervised

learning algorithm. Which of the following would you apply

supervised learning to? (Select all that apply.) In each case, assume some appropriate

dataset is available for your algorithm to learn from.

1 point
1 point

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