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What do we teach and what should we teach? An honest answer to this question
is painful, very painful–what we teach lags decades behind what we practice.
How can we reduce this gap' to prepare a data science workforce of trained next-generation statisticians? This is a challenging open problem that requires many well-thought-out experiments before finding the secret sauce. My goal in this article is to lay out some basic principles and guidelines (rather than creating a pseudo-curriculum based on cherry-picked topics) to expedite this process for finding an objective’ solution.

生成讲解博客的中文版本

生成AI智能校验的中文版本