Analyzing the Dual Levers of Modern Algorithm Improvement
Question: Based on the provided text, analyze the two specific actions identified as a reliable way to improve an algorithm's performance today, explaining what these actions are.
Sample answer: According to the text, a reliable way to improve an algorithm's performance today consists of two actions: first, training a bigger network, and second, getting more data.
Key points:
- Improving an algorithm's performance reliably requires training a bigger network.
- Improving an algorithm's performance reliably requires getting more data.
- These two actions are presented together as a reliable way to improve performance today.
Rubric: Grade based on whether the student correctly identifies both parts of the reliable improvement method: training a bigger network and getting more data, without introducing outside concepts.
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According to Machine Learning Yearning (p. 10), which two strategies are described as reliable ways to improve an algorithm's performance?
True or False: According to Machine Learning Yearning, training a bigger network and getting more data are the ONLY reliable ways to improve an algorithm's performance.
According to Machine Learning Yearning, one of the more reliable improvement levers is to train a bigger _____ and to get more data.
Which two actions does Andrew Ng identify as reliable ways to improve an ML algorithm's performance today?
True or False: Machine Learning Yearning describes training a bigger network and getting more data as reliable ways to improve algorithm performance.
According to Machine Learning Yearning, one reliable way to improve performance is to train a bigger _____ and get more data.
Match each improvement lever from Machine Learning Yearning to its description.
Order the steps for applying the two reliable improvement levers described in Machine Learning Yearning.
What does Andrew Ng mean by calling training a bigger network and getting more data 'reliable' improvement levers?
True or False: According to Machine Learning Yearning, getting more data is an unreliable way to improve an algorithm's performance.
According to Machine Learning Yearning, one reliable way to improve performance is to train a bigger network and get more _____.
Match each bottleneck scenario to the reliable improvement lever from Machine Learning Yearning that most directly addresses it.
Order the reasoning steps that explain why bigger networks and more data are reliable improvement levers per Machine Learning Yearning.
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