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1. What is machine learning and how is it different from
traditional programming? (Choose one)
a) Machine learning is a branch of artificial intelligence
that uses data to learn patterns and make predictions, while
traditional programming uses predefined rules and logic to
perform tasks.
b) Machine learning is a branch of computer science that
uses mathematical models and algorithms to solve
problems, while traditional programming uses natural
language and human intuition to perform tasks.
c) Machine learning is a branch of statistics that uses data
to test hypotheses and draw conclusions, while traditional
programming uses data to verify facts and support
arguments.
d) Machine learning is a branch of engineering that uses
data to optimize systems and processes, while traditional
programming uses data to monitor performance and
quality.
Answer: A
Rationale: Machine learning is a subset of artificial
intelligence that learns from data, whereas traditional
programming relies on explicit instructions.
2. What are some of the benefits of applying machine
learning in healthcare? (Choose all that apply)
a) Improving diagnosis and treatment of diseases
b) Reducing costs and inefficiencies
c) Enhancing patient experience and satisfaction
d) Increasing privacy and security
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