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Can you explain systematic sampling?
What is the benefit of naïve bayes mcq?
What is bagging in Machine Learning?
What are the ethical considerations in deploying Generative AI solutions?
What do you understand by selection bias?
Which package is used to do data import in r and python? How do you do data import in sas?
What challenges arise when implementing AI governance frameworks?
What are issues in data mining?
What do you understand by Poisson distribution?
What is the hidden markov model (hmms) is used?
What is an auto-encoder?
How can governance be extended to all data types?
A lot of questions were asked on sorting for eg. Best algorithm on the basis of number of swaps, number of comparisons etc.
Can you explain the difference between a Test Set and a Validation Set?
What is meant by supervised and unsupervised learning in data?
