AIL302m

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. What would be a reasonable choice for P? A. The probability of it correctly predicting a future date's weather.
B. The weather prediction task.
C. The process of the algorithm examining a large amount of historical weather data.
D. None of these.

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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?
A. The weather prediction task.
B. None of these.
C. The probability of it correctly predicting a future date's weather.
D. The process of the algorithm examining a large amount of historical weather data.

Suppose you are working on weather prediction, and use a learning algorithm to predict tomorrow's temperature (in degrees Centigrade/Fahrenheit).Would you treat this as a classification or a regression problem?
A. Regression
B. Classification

Suppose you are working on weather prediction, and your weather station makes one of three predictions for each day's weather: Sunny, Cloudy or Rainy. You'd like to use a learning algorithm to predict tomorrow's weather. Would you treat this as a classification or a regression problem?
A. Regression
B. Classification

Suppose you are working on stock market prediction, and you would like to predict the price of a particular stock tomorrow (measured in dollars). You want to use a learning algorithm for this. Would you treat this as a classification or a regression problem?
A. Regression
B. Classification