What is Model Selection in Machine Learning?
What is ‘Overfitting’ in Machine learning?
What type of learning is needed when the system needs to adapt to rapidly changing data?
What is Genetic Programming?
Why is python so popular in machine learning?
What is ROC curve and what does it represent?
How many types are available in machine learning?
Which operating system is best for machine learning?
What are parametric models? Give an example.
Explain How We Can Capture The Correlation Between Continuous And Categorical Variable?
What do you understand by algorithm independent machine learning?
How does gaussian naive bayes work?
Describe 'training set' and 'training test'.
What is the use of gradient descent?
What is sequence classification?