Class 06 Quiz

What is Machine Learning?

•  A type of computer program that writes stories

• A way for computers to learn from data and improve without being explicitly programmed

• A method of teaching people how to use computers

•  A process for fixing broken computers

Which type of machine learning involves using labeled data to train a model?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Pattern Recognition

In which type of machine learning does the computer learn by trial and error to maximize rewards?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• None of the Above

f you want to train a machine to categorize fruits based on pictures of apples, bananas, and oranges, which type of machine learning would you use?

•  Unsupervised Learning

• Supervised Learning

• Reinforcement Learning

• None of the Above

Which type of machine learning is used to find hidden patterns in data without labels?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Data-Driven Learning

What are the three main types of data?

• Text, Images, and Sounds

• Structured, Unstructured, and Semi-Structured

• Numeric, Alphabetic, and Symbolic

• Large, Medium, and Small

Which type of data is organized in rows and columns, like a table or spreadsheet?

• Unstructured Data

• Semi-Structured Data

• Structured Data

• Text Data

A photo or a video is an example of which type of data?

• Unstructured Data

• Structured Data

• Semi-Structured Data

• None of the Above

Why is recognizing patterns important in machine learning?

•  It helps machines fix themselves

•  It allows machines to make predictions based on data

• It helps create colorful images

• It allows machines to speak different languages

You are given a collection of emails, and you want to classify them as spam or not spam. Which type of data and machine learning method would you most likely use?

• Unstructured Data and Supervised Learning

• Structured Data and Unsupervised Learning

• Structured Data and Supervised Learning

•  Semi-Structured Data and Reinforcement Learning