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Module 2: Linear Models and Bayesian Learning

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Which of the following steps/assumptions in regression modeling impacts the trade-off between under-fitting and over-fitting the most?
(i) The polynomial degree
(ii) Whether we learn the weights by matrix inversion or gradient descent
(iii) The use of a constant-term
(iv) None of the above

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