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Product Performance Intuition as a Desired Error Rate
For a learning algorithm that serves a product, intuition about the level of performance needed to give users a great experience can inform the desired error rate. For an important application one has worked on for a long time, intuition about how much progress can reasonably be made in the next quarter or year can also inform it.
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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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Product Performance Intuition as a Desired Error Rate
Human-Level Error Reference Depends on Current System Error
What is the definition of a 'desired error rate' in Andrew Ng's ML Yearning?
True or False: According to ML Yearning, the desired level of performance can be added to a learning curve.
A desired error rate is a level of error one hopes a learning algorithm will eventually _____.
Match each term to its role in desired error rate analysis as described in ML Yearning.
Order the steps to incorporate a desired error rate into a learning curve, as described in ML Yearning.
According to ML Yearning, to which visualization should the desired level of performance be added?
True or False: A desired error rate reflects the error rate a learning algorithm has already achieved on the dev set.
According to ML Yearning, the desired level of performance should be added to your _____.
Match each element visible on a learning curve to what it communicates to the developer.
Order the reasoning steps that lead a developer to use a desired error rate in learning curve analysis.
Explain how a desired error rate is used and visualized on a learning curve.
Determine how to visualize target performance for a speech project's learning curve.
How should a target error rate be visualized on a learning curve?
Learn After
Which source of intuition helps set a desired error rate for a product-serving algorithm?
True or False: Long experience with an application can inform how much progress is reasonable next quarter or year.
If a learning algorithm serves a product, you might have intuition about the level of _____ needed for a great user experience.
Match each scenario to the type of intuition it reflects for setting a desired error rate.
Order the reasoning steps for using intuition to set a desired error rate for a product.
Explain how product-experience intuition can shape a desired error rate.
Case Study: Setting a desired error rate using long-term application experience.
Name two sources of intuition that can inform a desired error rate.
What kind of experience gives intuition about reasonable progress in the next quarter or year?
True or False: Intuition about desired error rate only comes from serving a consumer product.