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https://us02web.zoom.us/webinar/register/WN_RQi4EYmMTXKhI9l9meU8Sw

Startups need to innovate quickly to survive. However, delivering a robust and reliable product is also essential. This can be challenging with AI products since many AI models are not easily interpreted. In this talk, we will discuss how AI startups can use interpretable machine learning to see how a model is learning.

This talk will cover:
What is interpretable machine learning?
Why do we need it?
Why do startups need to invest in building interpretable models?
Trade-offs of interpretable ML

📍 Date: Tuesday, July 27th, 2021 @ 5 PM PST

Agenda:
🔺5:00 - 5:05: Introduction
🔺5:05 - 5:40: Presentation
🔺5:40 - 5:50: Discussions
🔺5:55 - 6:00:Closing remarks

Speakers:
🔶 Serg Masís
Climate & Agronomic Data Scientist at Syngenta
https://www.linkedin.com/in/smasis/

🔶 Pawan Nandakishore, Ph.D
Data Scientist at Colaberry Inc
https://www.linkedin.com/in/pawan-nandakishore/

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