MLY_V0.5_Full_Draft.pdf


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2024-03-19
set metric te st ideas analysis de development dev tes Learning
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Machine Learning Yearning is a
deeplearning.ai project.
© 2018 Andrew Ng. All Rights Reserved.

Page 2 Machine Learning Yearning-Draft Andrew Ng
Table of Contents
1 Why Machine Learning Strategy
2 How to use this book to help your team
3 Prerequisites and Notation
4 Scale drives machine learning progress
5 Your development and test sets
6 Your dev and test sets should come from the same distribution
7 How large do the dev/test sets need to be?
8 Establish a single-number evaluation metric for your team to optimize
9 Optimizing and satisficing metrics
10 Having a dev set and metric speeds up iterations
11 When to change dev/test sets and metrics
12 Takeaways: Setting up development and test sets
13 Build your first system quickly, then iterate
14 Error analysis: Look at dev set examples to evaluate ideas
15 Evaluating multiple ideas in parallel during error analysis
16 Cleaning up mislabeled dev and test


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