Explain the relationship between digital device usage and deep learning progress.
Question: Based on Andrew Ng's Machine Learning Yearning, write an analytical response explaining how increased time spent on digital devices functions as a driver of recent deep learning progress.
Sample answer: According to Machine Learning Yearning, people spending more time on digital devices (laptops and mobile devices) generates huge amounts of data from their digital activities. This increased data availability provides the raw material that can be fed to learning algorithms, serving as one of the major drivers of recent progress in deep learning.
Key points:
- People spend more time on digital devices such as laptops and mobile devices.
- Their digital activities generate huge amounts of data.
- This data is fed to learning algorithms.
- Data availability is a primary driver of recent deep learning progress.
Rubric: To earn full credit, the response must identify digital devices (laptops/mobile devices), state that activities on them generate huge amounts of data, and explain that feeding this data to learning algorithms drives deep learning progress.
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Machine Learning
Deep Learning
Supervised Learning
Dive into Deep Learning @ D2L
Data Science
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
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