
Distributed Time Series in Machine Learning - ML 088
Adventures in Machine Learning
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Using Parallelized Libraries Can Save You Tons of Time and Tons of Performance
The main takeaways is leverage a library that allows you to run parallelized code sort of automatically so you don't have to write it all from scratch. There are good solutions like spark that will do it for you but just do a little bit of research on parallelized libraries because that can save you tons of time and tons of performance down the road. "I've seen people who want to get a little bit too clever for trying to eat as much performance as possible"
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