How will you explain machine learning into a layperson?
What is the difference between bayesian and frequentist?
Explain the Algorithm Technique of Learning to Learn in Machine Learning?
How do you ensure you're not overfitting with a model?
Explain what is the difference between inductive machine learning and deductive machine learning?
what’s a fourier transform?
How is decision tree pruned?
What is bias-variance decomposition of classification error in ensemble method?
How would you use f1 score?
What is precision and recall?
How would you handle an imbalanced dataset?
Tell us how do bias and variance play out in machine learning?
Explain the machine learning techniques?
What is the f1 score? How would you use it?
How is ML different from artificial intelligence?
