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