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Data Pipeline Flow for AI ModelsModels

Beenish Chaudhry

Created on September 1, 2025

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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

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