Introduction >> Machine Learning
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Introduction
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?
learning algorithm to predict tomorrow’s temperature (in
degrees Centigrade/Fahrenheit).
Would you treat this as a classification or a regression problem?
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.