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Explain data wrangling?
What are the cons of data mining?
What are cuda cores good for?
On rolling a dice if you get $1 per dot on the upturned face,what are your expected earnings from rolling a dice?
Explain me what's the trade-off between bias and variance?
In hmm, where does the additional variable is added?
Is naive bayes a supervised or unsupervised method?
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?
You are given a dataset where the number of variables (p) is greater than the number of observations (n) (p>n). Which is the best technique to use and why ?
What’s the difference between a generative & discriminative model?
What are the different types of classifiers?
How will inspect missing data and when are they important for your analysis?
Explain the issues regarding classification and prediction?
Explain how to use dmx-the data mining query language?
What are the differences between overfitting and underfitting?
