Data Pipeline Flow for AI Models
Supervised Learning (Pipeline)
Outputs
Pre-Processing
Inputs
Inferencing
Unsupervised Learning (Pipeline)
Outputs
Pre-Processing
Inputs
Inferencing
Reinforcement Learning (Pipeline)
Outputs
Pre-Processing
Inputs
Inferencing
Sort each example into Correct Learning Type
Supervised Learning
Unsupervised Learning
Reinforcement Learning
An app that adapts your step goal up or down depending on progress
Predicting if a patient is at risk of depression using activity + mood logs
Grouping patients into clusters based on similar sleep and exercise patterns
A chatbot that experiments with different supportive messages and keeps the ones that increase engagement
Detecting abnormal ECG rhythms from labeled heart recordings
Clustering eating habits to suggest personalized diet categories
Congratulations, you have completed this activity.
Data Pipeline Flow for AI ModelsModels
Beenish Chaudhry
Created on September 1, 2025
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Transcript
Data Pipeline Flow for AI Models
Supervised Learning (Pipeline)
Outputs
Pre-Processing
Inputs
Inferencing
Unsupervised Learning (Pipeline)
Outputs
Pre-Processing
Inputs
Inferencing
Reinforcement Learning (Pipeline)
Outputs
Pre-Processing
Inputs
Inferencing
Sort each example into Correct Learning Type
Supervised Learning
Unsupervised Learning
Reinforcement Learning
An app that adapts your step goal up or down depending on progress
Predicting if a patient is at risk of depression using activity + mood logs
Grouping patients into clusters based on similar sleep and exercise patterns
A chatbot that experiments with different supportive messages and keeps the ones that increase engagement
Detecting abnormal ECG rhythms from labeled heart recordings
Clustering eating habits to suggest personalized diet categories
Congratulations, you have completed this activity.