Practice Why Machine Learning? (6.1.1) - Machine Learning Basics - AI Course Fundamental

Practice: Why Machine Learning?

Lesson 6.1.1Machine Learning Basics

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8 questions

Flashcard drill
4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does ML stand for?
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Think about the field of Artificial Intelligence.
Question 2.
Give one example of an application of Machine Learning.
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Consider daily technologies that might use data to improve.
3Question 3.
What is Machine Learning primarily focused on?
- Making decisions with human input
- Learning from data
- Only programming hard-coded rules
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Think about how machines operate differently from traditional programming.
4Question 4.
True or False: Machine Learning can adapt over time based on new data.
- True
- False
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Remember how practice can lead to improvements.
Question 5.
Analyze the role of Machine Learning in transforming digital marketing strategies. Provide specific examples.
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Think about how businesses use browsing history and customer habits.
Question 6.
Discuss the ethical implications of automating decision-making with ML. Provide a balanced viewpoint.
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Consider both the advantages of efficiency and potential drawbacks regarding fairness in automated systems.

4 more questions in this section. Enroll free to practise them all.