Architectural and Organizational Patterns in Machine Learning with Nishan Subedi - #462 episode artwork

EPISODE · Mar 8, 2021 · 57 MIN

Architectural and Organizational Patterns in Machine Learning with Nishan Subedi - #462

from The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) · host Sam Charrington

Today we’re joined by Nishan Subedi, VP of Algorithms at Overstock.com. In our conversation with Nishan, we discuss his interesting path to MLOps and how ML/AI is used at Overstock, primarily for search/recommendations and marketing/advertisement use cases. We spend a great deal of time exploring machine learning architecture and architectural patterns, how he perceives the differences between architectural patterns and algorithms, and emergent architectural patterns that standards have not yet been set for. Finally, we discuss how the idea of anti-patterns was innovative in early design pattern thinking and if those concepts are transferable to ML, if architectural patterns will bleed over into organizational patterns and culture, and Nishan introduces us to the concept of Squads within an organizational structure. The complete show notes for this episode can be found at https://twimlai.com/go/462.

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Architectural and Organizational Patterns in Machine Learning with Nishan Subedi - #462

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This episode is 57 minutes long.

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This episode was published on March 8, 2021.

What is this episode about?

Today we’re joined by Nishan Subedi, VP of Algorithms at Overstock.com. In our conversation with Nishan, we discuss his interesting path to MLOps and how ML/AI is used at Overstock, primarily for search/recommendations and marketing/advertisement...

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