Most Asked Machine-Learning Questions to crack any interview.

1. How would you define Machine Learning?

2. Can you name four types of problems where machine learning shines?

3. What is a labeled training set?

4. What are the two most common supervised tasks?

5. Can you name four common unsupervised tasks?

6. What type of Machine Learning algorithm would you use to allow a robot to walk in various unknown terrains?

7. What type of algorithm would you use to segment your customers into multiple groups?

8. Would you frame the problem of spam detection as a supervised learning problem or an unsupervised learning problem?

9. What is an online learning system?

10. What is the difference between a model parameter and a learning algorithm’s hyperparameter?

11. If your model performs great on the training data but generalizes poorly to new instances, what is happening? Can you name three possible solutions?