List down various approaches for machine learning?
How does machine learning differ from deep learning?
What do you mean by ensemble learning?
Explain what is the function of ‘Supervised Learning’?
Why is bayes theorem important?
What is root cause analysis?
Give examples of machine-to-machine communications?
What is classifier in machine learning?
How will you know which machine learning algorithm to choose for your classification problem?
Why naïve bayes is called naïve?
What should I learn before machine learning?
What is PCA, KPCA and ICA used for?
What is classification and regression in machine learning?
What are the five popular algorithms we use in machine learning?
What's the f1 score? How would you use it?