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How was bayes’ theorem useful in a machine learning context?
What are the applications of a Recurrent Neural Network (RNN)?
What ethical considerations should be taken into account when applying AI in healthcare?
Discuss decision tree algorithm?
Explain the most common types of machine learning task?
What is difference between tensorflow and pytorch ?
Tell us what's the f1 score? How would you use it?
What is a hash table?
What is type I vs type ii error?
What is the central limit theorem? How is a normal distribution different from chi square distribution?
Why is “naive” bayes naive?
I have two multifiles i.e. datapartition2 and datapartition3 .how i join these two?
What is cart and chaid? How is bagging different from boosting?
What is matrix element-wise multiplication? Explain with an example.
Pick up a coin C1 given C1+C2 with probability of trials p (h1) =.7, p (h2) =.6 and doing 10 trials. And what is the probability that the given coin you picked is C1 given you have 7 heads and 3 tails?
