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AI Machine Learning Interview Questions
Un-Answered Questions { AI Machine Learning }
Is machine learning hard?
What is a class in machine learning?
What is the difference between machine learning vs data mining?
Why is naive bayes used for text classification?
What’s the trade-off between bias and variance?
How would you screen for outliers and what should you do if you find one?
Tell us what's the difference between type I and type ii error?
What are the common ways to handle missing data in a dataset?
What is A/B Testing?
Explain how do you ensure you're not overfitting with a model?
What according to you, is the standard approach to supervised learning?
What is batch size machine learning?
Tell me how a roc curve works?
What are the five popular algorithms we use in machine learning?
Explain the steps in making a decision tree.
