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How Do You Get AI Into Production?

Developer Voices

CHAPTER

Spark ML and Machine Learning

In machine learning, some of the things that you're injecting to the algorithms are hyper parameters and parameters. So those are going to change the output as well and the accuracy of the model. And this is something that is built in with, uh, Spark ML also, right. The community developed the pipelines, machine learning pipelines that are very easy to use and very intuitive. Uh, and they were also able to give it all the different processing of the data including tokenization, hashing, everything that you need.

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