Machine Learning 1 Introduction-quiz

 

1。A

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?

 

 

The process of the algorithm examining a large amount of historical weather data.

 

None of these.

 

The weather prediction task.

 

The probability of it correctly predicting a future date's weather.

 

2。B

The amount of rain that falls in a day is usually measured in either millimeters (mm) or inches. Suppose you use a learning algorithm to predict how much rain will fall tomorrow.

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

 

Classification

 

Regression

3。B

Suppose you are working on stock market prediction, Typically tens of millions of shares of Microsoft stock are traded (i.e., bought/sold) each day. You would like to predict the number of Microsoft shares that will be traded tomorrow.

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

 

Regression

 

Classification

4。BD

Some of the problems below are best addressed using a supervised 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.

 

Examine a web page, and classify whether the content on the web page should be considered "child friendly" (e.g., non-pornographic, etc.) or "adult."

 

Given a large dataset of medical records from patients suffering from heart disease, try to learn whether there might be different clusters of such patients for which we might tailor separate treatments.

 

Given data on how 1000 medical patients respond to an experimental drug (such as effectiveness of the treatment, side effects, etc.), discover whether there are different categories or "types" of patients in terms of how they respond to the drug, and if so what these categories are.

 

In farming, given data on crop yields over the last 50 years, learn to predict next year's crop yields.

5。D

Which of these is a reasonable definition of machine learning?

 

Machine learning learns from labeled data.

 

Machine learning is the science of programming computers.

 

Machine learning is the field of allowing robots to act intelligently.

 

Machine learning is the field of study that gives computers the ability to learn without being explicitly programmed.

 

 

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