What is answer ? Q1: Is the following problem best addressed as supervised or unsupervised learning? 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" or "not child friendly." • 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. • 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.

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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What is answer ?
Q1: Is the following problem best addressed as supervised or
unsupervised learning? 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" or "not child friendly."
• 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.
• 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.
Transcribed Image Text:What is answer ? Q1: Is the following problem best addressed as supervised or unsupervised learning? 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" or "not child friendly." • 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. • 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.
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