Interview Q&A / Machine Learning
Machine Learning interview questions
Supervised vs unsupervised learning, overfitting, metrics and the classic models, explained simply.
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- What is Laplace smoothing in Naive Bayes, and why is it needed?
If a word never appeared with a class in training, its probability is zero and wipes out the whole product. Laplace smoothing adds 1 to every word count so no probability is exactly zero.
IntermediateQuick answer1 min read