The video tutorial explains artificial intelligence (AI) as a machine capable of performing tasks that typically require human intelligence. It breaks down AI into three domains: data science, natural language processing, and computer vision. The focus is on data science, highlighting its role in analyzing large data sets to find patterns and make predictions. Examples include weather prediction and YouTube video recommendations, demonstrating how AI uses data to make decisions. The tutorial emphasizes the minimal human involvement once AI algorithms are developed, showcasing the system's artificial intelligence.

What is the primary goal of artificial intelligence?

• To perform tasks faster than humans

• To replicate human intelligence

• To replace human workers

• To create new forms of life

Which of the following is NOT one of the three broad categories of human intelligence?

• Emotional intelligence

• Thinking and decision-making

• Communication

• Vision

What is another name for the data science domain?

• Data mining

• Data visualization

• Data analytics

• Data engineering

How much of the world's data has been generated in the last two years?

• 70%

• 50%

• 90%

• 100%

What type of data is used in weather prediction models?

• Text data

• Numerical data

• All of the above

• Categorical data

Which of the following is an example of categorical data?

• Age

• Weight

• Gender

• Temperature

What kind of data does YouTube use to recommend videos?

• User's recent search history

• User's location

• User's internet speed

• User's device type

What is the role of machine learning in AI?

• To visualize data patterns

• To store large amounts of data

• To learn from data and make decisions

• To replace human decision-making

Which domain of AI deals with understanding and generating human language?

• Computer Vision

• Data Science

• Natural Language Processing

• Robotics

What is the best part about machine learning algorithms according to the video?

• They can make decisions automatically

• They are error-free

• They are easy to develop

• They require constant human supervision