Explain what are some methods of reducing dimensionality?
What is bias and variance in a Machine Learning model?
What is an AdaGrad algorithm in machine learning?
What do you understand by ilp?
What measure how far the predictions are from the actual values in machine learning?
What is decision tree classification?
What is the “kernel trick” and how is it useful?
When will you use classification over regression?
Tell us why is “naive” bayes naive?
What is symbolic learning in AI?
what’s a fourier transform?
How to choose notable variables while working on a data set?
What is pca in ml?
Why naive bayes is called naive?
Tell us what's the difference between a generative and discriminative model?