Principles of Good Machine Learning Systems Design

Key Notes

• ML in research vs Production

• Batched vs Single call

• ML Production myths
• Deployment is hard

• Build structure around maintenance/monitor

• Software decays over time

• ROI takes time
• Iterative process

• ML Adoption

Keep Thinking!!!