In this talk, we will focus on the data perspective when building machine learning pipelines. Using two examples, I will show how greenfield and brownfield data labeling differ, what you should focus on in each, and how to best leverage new technologies, frameworks, and products to build high-performing models. The goal is to give you a better understanding of what data options you have for...
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