How does routine use of connected apps affect training data availability?
Question: In a data-driven system, how does everyday use of connected apps and devices increase the information available for learning algorithms?
Sample answer: When people use connected apps and devices more often, they create large streams of logs, clicks, transactions, and sensor readings. Those digital traces can be collected and used as training data for learning algorithms.
Key points:
- Frequent use of connected apps and devices produces digital activity records.
- These records create large amounts of data.
- The data can be fed into learning algorithms.
Rubric: The answer must explain that using connected apps and devices generates large amounts of digital data that can be used to train learning algorithms.
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