MLIT(Round 1)

Machine Learning is a Subset of

• Deep Learning
• Artificial Intelligence
• Data Learning
• None of the above

What is machine learning?

• To learn from data without being explicitly programmed.

• To learn from data by being explicitly programmed.

• To learn from data using neuron structure.

• To learn from data by only using statistics.

Supervised learning and unsupervised clustering both require at least one .............

• Input attribute

• Output attribute

• Hidden attribute

• Categorical attribute

If machine learning model output involves target variable then that model is called as

• reinforcement learning
• descriptive model
• Predictive model
• all of the above

What is unsupervised learning?

• Number of groups maybe known
• Features of group explicitly stated
• Neither feature nor number of groups is known
• None of the above

Among the following option identify the one which is not a type of learning

• Supervised learning
• Semi unsupervised learning
• Unsupervised learning
• Reinforcement learning

What is the application of machine learning methods to a large database called?

• Big data computing
• Internet of things
• Data mining
• Artificial intelligence

The father of machine learning is

• Geoffrey Hill
• Geoffrey Everest Hinton
• Geoffrey Chaucer
• None of the above

Which of the following are common classes of problems in machine learning?

• Regression
• Classification
• Clustering
• All of the above

What are the applications of Machine Learning?

• Email spam detection
• Fraud Detection
• Healthcare diagnosis
• All of the above