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Explain while working on a data set, how do you select important variables?
What will you do if removing missing values from a dataset cause bias?
What are the societal benefits of explainable AI?
What is nltk?
How would you evaluate the performance of an NLP model?
What are the three types of algorithms?
You can roll a dice three times. You will be given $X where X is the highest roll you get. You can choose to stop rolling at any time (example, if you roll a 6 on the first roll, you can stop). What is your expected pay-out?
How logical inference can be solved in propositional logic?
What is a z test, chi square test, f test and t test?
On what basis do you choose a classifier?
What is meta learning?
What are the key challenges in balancing accuracy and fairness in AI systems?
What metrics do you use to evaluate the performance of a fine-tuned model?
What would you add to Facebook and how would you pitch it and measure its success?
What are the best practices for integrating LLM apps with existing data?
