Learn Before
What should you do immediately after learning from an experiment?
Question: In the machine learning development loop, after implementing an idea in code and carrying out an experiment, what is the next action you should take based on the results?
Sample answer: Based on the learnings from the experiment, you should go back to generate more ideas and keep iterating.
Key points:
- Go back to generate more ideas.
- Keep on iterating.
Rubric: The student must state that the developer should use the experimental results to generate new ideas and continue iterating.
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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)
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D2L
Dive into Deep Learning @ D2L
Machine Learning
Deep Learning
Supervised Learning
Data Science
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
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What should you do immediately after learning from an experiment?
What is the primary purpose of carrying out an experiment in the ML loop?
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