Taking stock of foundational tools for analytics and machine learning
The Data Exchange with Ben Lorica
00:00
Neural Architecture Search
Rts: To hold pipelight needs to, it's to be automa. I think we can break it down though, into no more tangibles. If i were to do, like an idealized pipe line for machine learning, let's say we have a phase that does data preparation and another phase where your books on future engineering are written. And then you've got the phase where you're training models, authonizing learners. Yes, i think that's the holy grow.
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