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Error Analysis Does Not Yield a Rigid Priority Formula
Error analysis does not produce a rigid mathematical formula for the highest-priority task. One also has to consider how much progress is expected on different categories and the amount of work needed to tackle each one.
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Machine Learning
Deep Learning
Supervised Learning
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Data Science
Machine Learning Strategy
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Examples Can Belong to Multiple Error Categories
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Most Helpful Error Categories Are Ones You Have Ideas to Improve
Error Analysis Is an Iterative Process
Error Category Frequency Helps Indicate Which Categories to Focus On
Pursuing Multiple Error Categories in Parallel
Error Analysis Does Not Yield a Rigid Priority Formula
Error Category Fraction as a Ceiling on Possible Error Reduction
Error Analysis as a Quantitative Basis for Project Investment Decisions
Engineer Reluctance to Perform Error Analysis Despite Its Low Time Cost
Mislabeled Examples in the Dev Set
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Build a Basic System Quickly and Iterate Using Error Analysis
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Manually Reviewing 100 Speech Recognition Dev Set Examples
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Error Analysis by Parts
Error Analysis as Data Science for ML Mistakes
No Single Right Way to Perform Error Analysis
Human-Solvable Problems Enable More Powerful Error Analysis Tools
What does error analysis primarily examine to understand an ML system's mistakes?
There is exactly one correct method for conducting error analysis on an ML system.
The process of looking at misclassified examples to understand error causes is called _____.
Match each error analysis concept to its correct description from Machine Learning Yearning.
Order the steps of conducting a basic error analysis on a dev set as described in Machine Learning Yearning.
What is the primary goal of reviewing misclassified examples during error analysis, even in categories you cannot yet fix?
Machine Learning Yearning describes error analysis as an iterative process.
Error analysis can often help you figure out how _____ different improvement directions are.
Match each error analysis activity to the benefit it provides according to Machine Learning Yearning.
Order the reasoning steps for deciding which error categories to pursue after completing an initial error analysis.
Learn After
What does error analysis NOT produce when identifying the highest-priority improvement task?
Error analysis produces a rigid mathematical formula that tells you what the highest-priority task should be.
Error analysis does not produce a rigid mathematical _____ that tells you what the highest-priority task should be.
Match each error analysis concept to the role it plays when prioritizing improvements.
Order the steps a team should follow when using error analysis to decide which improvement task to prioritize.
Which two additional factors must be weighed alongside error category percentages when prioritizing improvements?
When prioritizing tasks after error analysis, the amount of work needed to fix each error category is a relevant factor.
You must take into account how much _____ you expect to make on different categories and the work needed to tackle each one.
Match each description to what it correctly characterizes in the error analysis prioritization framework.
Order the reasoning steps for evaluating whether a specific error category deserves to be the top priority.