Machine Learning Interview Questions

1. Who is the father of Artificial Intelligence?

                John McCarthy

                  

2. Types of machine learning   

• Supervised learning
• Unsupervised learning
• Reinforcement learning
• 
  

3. What is logistic regression?

               It is a supervised machine learning model to predict a discrete value.

4. Why are support vector machines also called "maximum margin classifier"?

              Because distances from the decision boundaries are maximized when computing the hyper-plan of separation.

What is Bayesian inference?

             A method of inference where the probability of the hypothesis is updated as new evidence becomes available.

Which regularization technique is penalizing large model parameters most?

• L1 Regulariztion 
• L2 Regularization   

Answer: L2 Regularization

What is it appropriate to use regularization?

• To prevent overfitting
• To prevent underfitting

Answer: To prevent overfitting

What is overfitting and underfitting in machine learning?

Why it matters?

A machine learned model, if not tuned correctly, could overfit and underfit the data. The result in either case is not ideal as the model has not true patternof data.

Two types of Linear regression:

1. Simple Linear Regression
2. Multiple Linear Regression