How do you overcome challenges to your findings?
Give a brief introduction to data mining knowledge discovery?
How and by what methods data visualizations can be effectively used?
What is the difference between supervised and unsupervised machine learning?
What are the principal components?
How to handle missing data in a dataset in Machine Learning?
You are at a Casino. You have two dices to play with. You win $10 every time you roll a 5. If you play till you win and then stop, what is the expected pay-out?
What is a top-down parser?
What do you understand by Backpropagation?
What do you understand by perceptron? Also, explain its type.
Explain the difference between bias and variance?
What are Vanishing and Exploding Gradients?
What is the bidirectional search algorithm?
Do you know what's the “kernel trick” and how is it useful?
What is stemming in nlp?