再列一些常見題

• Two Sigma的：Suppose you are running a linear regression and model the error terms as being normally distributed. Show that, in this setup, maximizing the likelihood of the data is equivalent to minimizing the sum of the squared residuals.
• Two Sigma的：Describe the kernel trick in SVMs and give a simple example. How do you decide what kernel to choose?
• Citadel 的：Compare and contrast Gaussian Naive Bayes (GNB) and logistic regression, When would you use one over the other? 
• Citadel 的：Describe the model formulation behind logistic regression, How do you maximize the log-likelihood of a given model (using the two-class case)?
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所有跟帖： 

• 我對數學是一竅不通。 -高山峻嶺流水人家- ♂ (0 bytes) () 04/13/2023 postreply 21:18:56