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Questions and Answers
What role does Big Data play in Data Science?
What role does Big Data play in Data Science?
- It only serves for theoretical analysis.
- It is crucial as it implements concepts in real life. (correct)
- It is irrelevant to Data Science.
- It complicates the learning process.
What is the first step in the Data Science Life Cycle?
What is the first step in the Data Science Life Cycle?
- Interpret
- Obtain (correct)
- Scrub
- Explore
Which process involves cleaning data for better understanding?
Which process involves cleaning data for better understanding?
- Explore
- Scrub (correct)
- Model
- Obtain
What does the 'Model' step in the Data Science process entail?
What does the 'Model' step in the Data Science process entail?
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How does a machine learn from data?
How does a machine learn from data?
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Study Notes
Machine Learning
- Machine learning requires vast amounts of data for training.
- Machines learn by identifying patterns in data.
- Example: Voice recognition through pattern identification.
- Big Data is essential for machine learning and data science applications.
Data Science
- Data science extracts relevant information from large datasets.
- It uses statistical, mathematical, and scientific methods for learning and development.
Data Science Life Cycle
- Obtain: Data is gathered from various sources.
- Scrub: Data is cleaned and formatted for machine processing.
- Explore: Statistical methods reveal patterns and trends within the data.
- Model: Predictive and forecasting models are built.
- Interpret: Results are translated into meaningful insights.
Data Capture
- Obtain: Data extraction from sources like user applications.
- Scrub: Conversion of raw data into machine-readable format.
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