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- W3036722249 abstract "In Chapter 1, you learned how the role of a data scientist is similar to a concertmaster who uses his ensemble of orchestra and instruments to compose a beautiful composition. Similarly, a data scientist has multiple ensemble tools at his disposal if he wants to squeeze a world-class performance out of his data and models. In this chapter, the main goal is to learn different ways to mix training data to get ensemble models." @default.
- W3036722249 created "2020-06-25" @default.
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- W3036722249 date "2020-01-01" @default.
- W3036722249 modified "2023-09-24" @default.
- W3036722249 title "Mixing Training Data" @default.
- W3036722249 doi "https://doi.org/10.1007/978-1-4842-5940-5_2" @default.
- W3036722249 hasPublicationYear "2020" @default.
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