Chapter 1, or how an exciting data science project turned into a full-time data labeling nightmare
A few years ago, while working at a data science company that analyzes Twitter data, I was tasked with building classifiers for detecting news-worthy objects in Twitter images. Such a project, for a data scientist, is amazing – interesting technology, challenging goals, lots of value, with all the machine learning buzzwords one can ask for. I was excited about this project, and immediately fired up a GPU instance.
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