Can you cite some examples where both false positive and false negatives are equally important?
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Explain the difference between a validation set and a test set?
In any 15-minute interval, there is a 20% probability that you will see at least one shooting star. What is the probability that you see at least one shooting star in the period of an hour?
Do gradient descent methods always converge to the same point?
What are the differences between overfitting and underfitting?
Can you explain eigenvalue and eigenvector?
What are various steps involved in an analytics project?
How can you decide if one algorithm is better than the other?
Could you explain how to define the number of clusters in a clustering algorithm?
Explain survivorship bias?
What is back propagation?
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?
How can you generate a random number between 1 – 7 with only a die?
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