February 2018
Intermediate to advanced
378 pages
10h 14m
English
Content preview from Machine Learning with Swift
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Data preprocessing
Start from simple data preprocessing. Be aware that usually data preparation takes 80% of a project's time. Maintain a clean repository with your data and tidy your data up. Remember, garbage in, garbage out (GIGO)!
Split the work into more or less independent chunks. Let's say you are writing an app for reading medical device indications via a phone camera to simplify nurses' work.
Write down separate chunks of work, their inputs, and outputs. In this way, you'll see which of them depend on each other and this also helps understand how to test each step. Table shows examples:
| Serial number |
Step |
Input |
Output |
|
1 |
Device type recognition |
Image |
Device type |
|
2 |
Device screen detection |
Image |
Vertices ... |
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