Two Case Studies: Production ML infrastructure and Recommendation Engines - ML 072
Adventures in Machine Learning
00:00
ML Engineering - Is There a Dependant Variable?
Without a dependent variable, it's pretty tough to optimize anything. So we're also working on building out pipelines where we serve questions for students to actually get that information. Brian: You mentioned there won't need to be a ton of ETL. How would you serve these results, though? He says the SLO or SLA requirement for serving something like this isn't that extreme.
Play episode from 11:16
Transcript
