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How do you decide between model accuracy and model performance?
What is a bayesian network and how does it relate to ai?
What is lisp?
What is the significance of tf-idf?
Tell us what's the f1 score? How would you use it?
What is a top-down parser?
What is the application of naïve bayes naïve in machine learning?
Why size of integer depends on the machine architecture then what the best sorting algorithm and why?
What do you understand by tensorflow estimators?
Can you cite some examples where both false positive and false negatives are equally important?
Is 8gb ram enough?
What are parametric models? Give an example.
What are the advantages of tensorflow?
Why instance based learning algorithm sometimes referred as Lazy learning?
What are sources in Tensorflow?
