
Where ML and DevOps Meet - ML 108
Adventures in Machine Learning
00:00
Docker Deep Dive Book Club
Data structures are the first thing that they look at when writing ML code. They're like, hey, how are you storing this in memory? How is that algorithm actually doing that math within the computer? And if you're storing it as a list of Python lists and then trying to multiply another list against that, that's why it takes 40 minutes to run. Let's convert these into vectors. And now it executes in 17 seconds. So that's good to know, me to another random person who sees that exactlyThe same way as other like seasoned professionals that I've worked with at Databricks.
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