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What should you focus on improving once a scoring function problem is confirmed?
Question: In one to three sentences, state what a developer should focus on improving once the Optimization Verification test confirms a scoring function problem.
Sample answer: The developer should focus on improving how the system learns or approximates Score_A(S) for different sentences S, rather than working on the optimization algorithm.
Key points:
- Improve how Score_A(S) is learned or approximated
- Do not focus on the optimization algorithm in this case
Rubric: Full credit for stating that effort should go toward improving how the score is learned or approximated; no credit for suggesting the optimization algorithm should be improved instead.
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References
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Tags
Data Science
Machine Learning
Deep Learning
Supervised Learning
Dive into Deep Learning @ D2L
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
Related
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What should you focus on improving once a scoring function problem is confirmed?
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