ML Quiz

Identify Machine Learning Types

• Supervised Learning

• Deep Learning

• Unsupervised Learning

• Reinforcement Learning

What would make a robot intelligent?

• It responds to the environment.

• It responds to the environment according to previous experiences.

• It calculates mathematical problems faster than human minds.

• It can jump 1.5 meters higher than humans.

What is Machine Learning?

• The machine that learn from the entire knowledge that input into the machine

• The machine that learn from the human guidances

• The machine that automatically learn all the things

• The machine that match the puzzle

Please choose the correct statements about Machine Learning (ML)

• ML algorithm only need data to create the model

• Traditional algorithm need data and rules to make model

• ML algorithm need some rules to create the model

• ML algorithm need data and Rules to make model

In this type of Machine Learning, an AI system is presented with unlabeled, uncategorized data and the system’s algorithms act on the data without prior training. The output is dependent upon the coded algorithms.

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Technique Learning

ML is a field of AI consisting of learning algorithms that?

• Improve their performance

• At executing some task

• Over time with experience

• All of the above

Machine learning is mostly used when

• Human expertise doesn't exist

• Model must be customised to personal need

• Model use huge amount of data

• Interpreting the insight from descriptive data such as mean, median etc

A type of machine learning modelled on the human brain

• Neural networks
• Pattern recognition
• Supervised learning
• Unsupervised learning

The first step in the business analytic process is

• Determine the needs of the business

• Collect the data

• Predict the outcome

• Analyze the data

In today's digital technological world, who can be apply the business analytics techniques and solve the business problems which will give accurate results?

• Statisticians

• Computer Programmers

• Business Domain Experts

• All of the above