))
Episode 17: Michael Munn, Google: Machine Learning Design Patterns
Manage episode 315382643 series 3248802
Silo AI에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Silo AI 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Inference #17: ML Design Patterns with Michael Munn from Google
Information can be lost in translation. As new technologies require a unified framework for discussion, they too require it for semantics. Michael Munn, along with his co-authors Valliappa Lakshmanan and Sara Robinson, released a book called ML Design Patterns to help codify common modeling- and engineering problems, solutions, and approaches into uniform language, aiming to democratize ML comprehension.
Michael is a professor and mathematician by background. At Google, he works with Google Cloud Platform’s customer-facing projects and is one of the driving forces behind Google’s Advanced Solutions Lab.
Tune in to learn about the difference between academic vs. democratic ML, best practice sharing between Google’s teams and matching of Google’s MLOps principles to customer ways of working, and upcoming MLOps trends.
https://youtu.be/hNtJJ5R_T9s
30 에피소드
공유
