What is regression in machine learning?
Explain how is knn different from k-means clustering?
Can you name some feature extraction techniques used for dimensionality reduction?
Tell us when should you use classification over regression?
What are the two classification methods that SVM ( Support Vector Machine) can handle?
Explain the benefit of naive bayes in machine learning?
What are the areas in robotics and information processing where the sequential prediction problem arises?
How a roc curve works?
Why machine learning?
What should I learn before machine learning?
Explain true positive, true negative, false positive, and false negative in confusion matrix with an example.
What do you understand by ilp?
Explain cross-validation.
Explain me what is machine learning?
Do you know which is more important to you– model accuracy, or model performance?