What is classifier in machine learning?
What are confounding variables?
Explain the difference between type I and type ii error?
What is data augmentation in ml?
What is a Confusion Matrix?
How does a classifier work?
Explain the benefit of naive bayes mcq?
What do you mean by Inductive Logic Programming (ILP)?
Explain the most common types of machine learning task?
Explain what is precision and Recall?
Explain how do you think google is training data for self-driving cars?
What are support vector machines?
What is Time Series Analysis/ Forecasting?
What is batch statistical learning?
What are neural networks and where do they find their application in ML? Elaborate.