Podcast
Questions and Answers
Which of the following is not one of the standard steps in the data science process?
Which of the following is not one of the standard steps in the data science process?
- Developing the model
- Summarizing the results (correct)
- Understanding the problem
- Preparing the data samples
What motivated the development of data mining techniques?
What motivated the development of data mining techniques?
- The evolution of programming languages
- The wide availability of huge amounts of data and the need to extract useful information (correct)
- The desire to automate business processes
- The need to process large amounts of structured data
Which of the following is an acronym for a data science process framework?
Which of the following is an acronym for a data science process framework?
- DMAIC
- CRISP-DM
- SEMMA
- All of the above (correct)
What does the acronym CRISP-DM stand for?
What does the acronym CRISP-DM stand for?
How many phases are there in the CRISP-DM process?
How many phases are there in the CRISP-DM process?
What is the primary focus of the Business Understanding phase in the data science process?
What is the primary focus of the Business Understanding phase in the data science process?
Which of the following is NOT a characteristic of the data science process described in the text?
Which of the following is NOT a characteristic of the data science process described in the text?
What is the primary purpose of the prior knowledge step in the data science process?
What is the primary purpose of the prior knowledge step in the data science process?
Which of the following is a common issue in the data science process described in the text?
Which of the following is a common issue in the data science process described in the text?
What is the most important step in the data science process according to the text?
What is the most important step in the data science process according to the text?
Flashcards
Data Science Process Steps
Data Science Process Steps
A structured approach to analyzing data and extracting insights.
Motivations for Data Mining
Motivations for Data Mining
Large datasets and the need to find valuable information within them.
CRISP-DM
CRISP-DM
Cross-Industry Standard Process for Data Mining (a framework).
CRISP-DM Phases
CRISP-DM Phases
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Business Understanding (Phase)
Business Understanding (Phase)
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Data Science Process Characteristic
Data Science Process Characteristic
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Purpose of Prior Knowledge
Purpose of Prior Knowledge
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Common Data Science Issue
Common Data Science Issue
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Most Important Data Science Step
Most Important Data Science Step
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Data Science Process
Data Science Process
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