Practice Key Components Of Advanced Data Science (1.2) - Introduction to Advanced Data Science

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9 questions

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5 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 ETL stand for?
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Think of the steps involved in preparing data for analysis.
Question 2.
Name one application of natural language processing.
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Consider how machines interact with text data.
3Question 3.
What does the acronym ETL stand for?
- Extract, Transform, Load
- Examine, Together, Load
- Extract, Transfer, Layer
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Think about how data is processed before analysis.
4Question 4.
True or False: Deep learning is effective for image recognition tasks.
- True
- False
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Consider what makes deep learning special compared to traditional methods.
Question 5.
How might the integration of big data technologies improve healthcare outcomes?
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Consider what data from healthcare systems could lead to better decisions.
Question 6.
Create a hypothetical use case where transfer learning can significantly reduce training time for a deep learning model.
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Think of industries using previously available models to save effort.

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