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Machine Learning Design Patterns

Posted Dec 29
# Googler
# Interview
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SPEAKER
Sara Robinson
Sara Robinson
Sara Robinson
Developer Advocate @ Google

Sara is a Developer Advocate for Google Cloud, focusing on machine learning. She inspires developers and data scientists to integrate ML into their applications through demos, online content, and events. Before Google, she was a Developer Advocate on the Firebase team. Sara has a Bachelor’s degree from Brandeis University. When she’s not writing code, she can be found on a spin bike or eating frosting.

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Sara is a Developer Advocate for Google Cloud, focusing on machine learning. She inspires developers and data scientists to integrate ML into their applications through demos, online content, and events. Before Google, she was a Developer Advocate on the Firebase team. Sara has a Bachelor’s degree from Brandeis University. When she’s not writing code, she can be found on a spin bike or eating frosting.

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SUMMARY

This coffee session recorded between Christmas (2020) and New Year was with one of the authors of Machine Learning Design Patterns, Sara Robinson. It's interesting what stands out to Sara as being different, unique, perhaps more fun about working in the Machine Learning realm as a Developer Advocate compared to traditional software developer advocacy. Oh yeah, and we gave away 3 copies of her book over the next couple of weeks to those who gave us their best horror story of a design pattern gone wrong!

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