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Maximizing ROI for Machine Learning
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Machine learning can be applied to innovate products, automate processes, and improve customer experiences. While AI is often hyped as a replacement for people, in reality, ML models can get confused by exceptions, edge cases, and unusual data, and when that happens, a person — sometimes called a human in the loop (HITL) — must get involved. Join our LinkedIn Live session to hear from Dean Abbott, Chief Data Scientist at SmarterHQ, and learn: -Why it pays to have people in the loop during ML model deployment -Tips for deploying people more strategically to ease ML development challenges -How to design an HITL approach for better model outcomes
YouTube url:
https://youtu.be/MpH72Q8Qcvc
Created:
26. 1. 2021 21:07:13