Summary
In this starting chapter, we first discussed how data science competition platforms have risen and how they actually work, both for competitors and for the institutions that run them, referring in particular to the convincing CTF paradigm as discussed by Professor David Donoho.
We illustrated how Kaggle works, without forgetting to mention other notable competition platforms and how it could be useful for you to take on challenges outside Kaggle as well. With regards to Kaggle, we detailed how the different stages of a competition work, how competitions differ from each other, and what resources the Kaggle platform can offer you.
In the next few chapters, we will begin to explore Kaggle in more detail, starting with how to work with Datasets.
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