Machine Learning Pipelines

topic on 2 shows · 2 statements across 2 episodes

the MAD Podcast the a16z Podcast

2 statements about Machine Learning Pipelines, every show

MAD Insight
Erb: Existing CI/CD workflows do not fit machine learning pipelines
“Existing CI CD workflows, talking about how those don't really fit anymore. And then making the case that you know, these new pipelines are fundamentally different and require new tools, new workflows, and generally like new paradigms.”
Dillon Erb Feb 25, 2019 ▶ 1:50 CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)
a16z Insight
Clark: Manual hyperparameter tuning fails as machine learning pipelines expand
“Yeah, the complexity grows exponentially. And so some of the standard techniques that people do, like trying to solve this tuning problem in their head or via brute force, just completely fall flat.”
Scott Clark Jan 2, 2019 ▶ 9:48 a16z Podcast | AI, from 'Toy' Problems to Practical Application

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