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AI Machine Learning Interview Questions
Un-Answered Questions { AI Machine Learning }
Do you know which is more important to you– model accuracy, or model performance?
Tell us an example where ensemble techniques might be useful?
Explain what are some methods of reducing dimensionality?
Describe dimension reduction in machine learning.
Can r be used for machine learning?
Define kernel svm?
What is convex hull?
What do you mean by genetic programming?
What is the benefit of naive bayes in machine learning?
How to handle missing data in a dataset in Machine Learning?
What is the difference between inductive and deductive learning?
Mention the difference between Data Mining and Machine learning?
What is the “kernel trick” and how is it useful?
What is accuracy score in machine learning?
What's the “kernel trick” and how is it useful?
