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Published online by Cambridge University Press: 23 March 2023
The historical development of statistics and artificial intelligence (AI) is outlined, with machine learning (ML) emerging as the dominant branch of AI. Data science is viewed as being composed of a yin part (ML) and a yang part (statistics), and environmental data science is the intersection between data science and environmental science. Supervised learning and unsupervised learning are compared. Basic concepts of underfitting/overfitting and the curse of dimensionality are introduced.
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