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AI Machine Learning Interview Questions
Un-Answered Questions { AI Machine Learning }
Differentiate supervised and unsupervised machine learning.
Tell me what is the difference between bias and variance?
What is recall?
Tell us when will you use classification over regression?
Tell us do you have research experience in machine learning?
What is the difference between covariance and correlation?
What are the types of machine learning?
Explain the importance of bayes theorem?
How do bias and variance play out in machine learning?
What is PCA, KPCA and ICA used for?
What is Seq2Seq Tensorflow?
Why do we need to convert categorical variables into factor? Which functions are used to perform the conversion?
Tell us why is “naive” bayes naive?
Explain why is naive bayes better than decision tree?
Differentiate between statistics and ML?
