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Why is naïve bayes machine learning algorithm naïve?
what’s a fourier transform?
What are parametric models? Give an example.
Explain latent dirichlet allocation (lda).
Explain the bias-variance tradeoff.
what is the function of ‘unsupervised learning’?
When is ridge regression favorable over lasso regression?
What is the box-cox transformation used for?
What kind of problems does regularization solve?
How would you evaluate a logistic regression model?
Define a hash table?
List out some important methods of reducing dimensionality.
What is the difference between covariance and correlation?
What is the difference between inductive machine learning and deductive machine learning?
While creating bayesian network what is the consequence between a node and its predecessors?
