On what basis do you choose a classifier?
What is your training in machine learning and what types of hands-on experience do you have?
What is bias-variance decomposition of classification error in ensemble method?
How is decision tree pruned?
Which language is better for machine learning r or python?
Explain the difference between bias and variance?
Why do ensembles typically have higher scores than individual models?
What is classification in machine learning?
How does machine learning differ from deep learning?
Explain false negative, false positive, true negative and true positive with a simple example?
How to choose notable variables while working on a data set?
Comparision between Machine Learning and Big Data?
Explain the Algorithm Technique of Transduction in Machine Learning?
Tell me how would you implement a recommendation system for our company's users?
Is macbook good for machine learning?