AI Technology in Everyday Use

Which of the following is NOT mentioned as an example of AI technology in everyday use?

• YouTube

• Text messaging

• Social media feeds

• Autonomous vehicles

How can AI be categorized according to the lesson?

• As a tool for communication

• As a type of robot

• As something that uses data to make predictions

• As a purely entertainment technology

What is the definition of AI according to the image?

• The study of how to train computers to do things at which, at the moment, people are better.

• The branch of computer science that deals with writing computer programs that can solve problems creatively.

• Making computers perform "intelligent" tasks such as recognizing things, understanding them, and making decisions about them.

• The ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.

What are the three main parts of machine learning as presented in the diagram?

• Data processing, analysis, result

• Dataset, learning algorithm, prediction

• Input, process, output

• Training, validation, testing

What is a fundamental component of machine learning as depicted on the slide?

• Algorithm

• Dataset

• Computer

• Program

What is a dataset?

• A) A single piece of data

• B) A collection of curated data

• C) A type of computer program

• D) A data analysis method

Which of the following is NOT typically considered a type of data included in datasets?

• A) Images

• B) Text

• C) Video recordings

• D) Live streaming

What type of data can be included in a dataset?

• A) Images

• B) Measurements (time, views, inches, etc)

• C) Text

• D) All of the above

What factors does the Instagram advertisement learning algorithm take into account to predict what you will click on?

• Past purchases and search history

• Past clicks, brands you follow, and text in captions

• Number of followers and posts you have

• Frequency of app usage and device type

True/False: Algorithms are created from datasets to make predictions.

• True

• False