Practice Introduction To Advanced Data Science (1) - Introduction to Advanced Data Science

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9 questions

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3 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
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does advanced data science utilize?
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Think about modern technologies in AI.
Question 2.
Name one component of advanced data science.
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We discussed several key areas.
3Question 3.
What is a key component of advanced data science?
- Deep Learning
- Basic Excel
- Manual Analysis
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It involves neural networks.
4Question 4.
True or False: Advanced data science focuses solely on structured data.
- True
- False
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Think about what 'advanced' means.
Question 5.
Design a machine learning model for predicting customer churn in a subscription service. What data would you need, and how would you ensure it’s unbiased?
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Consider features that directly affect user satisfaction.
Question 6.
Evaluate the ethical implications of deploying a facial recognition system. What biases could arise, and how could they be mitigated?
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Think about societal impacts of deployment.

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