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Can you scrutinize the divergence between L1 and L2 regularization in regression analysis and why it's acceptable to opt for one over the other?

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Interview question asked to Machine Learning Engineers interviewing at Deloitte, GitLab, WeWork and others: Can you scrutinize the divergence between L1 and L2 regularization in regression analysis and why it's acceptable to opt for one over the other?.