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What is regularization? Can you give some examples of regularization techniques?
What is the curse of dimensionality? Can you list some ways to deal with it?
What is an imbalanced dataset? Can you list some ways to deal with it?
Can you explain the differences between supervised, unsupervised, and reinforcement learning?
What is data augmentation? Can you give some examples?
What are convolutional networks? Where can we use them?
What are the steps for wrangling and cleaning data before applying machine learning algorithms?
Choose any machine learning algorithm and describe it.
What do you mean by finite automata?
What are different types of Compilers and also define how to convert NFA to DFA?
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.
