Title: “From Data to Deployment — The ML Journey”
What It Is:
A one-page visual + explainer that maps out the full lifecycle of a Machine Learning model — from data collection to monitoring in production. Great for teams building AI products or pitching AI integration to stakeholders.
Covered Stages:
- Problem Definition
- Data Collection & Cleaning
- Model Selection
- Training & Validation
- Deployment
- Monitoring & Feedback Loop
Use Case:
Startup founders, product managers, enterprise teams
