Understanding Machine Learning Applications

Which of the following is NOT an example of how computers are currently making decisions that affect daily life?

• Providing internet search results.

• Suggesting content in your news feed.

• Driving cars completely autonomously without human intervention.

• Recognizing your face and understanding your voice.

What is the key distinction between "True Artificial Intelligence" and "Machine Learning" as presented in the video?

• True AI is primarily for image recognition, while Machine Learning is for text analysis.

• True AI is a future concept, whereas Machine Learning is a present-day application of AI.

• True AI requires human supervision, while Machine Learning operates independently.

• True AI is limited to specific tasks, while Machine Learning is general-purpose.

Which of these is an application of Machine Learning that people commonly interact with every day?

• Building an AI search engine for academic papers.

• Managing product development for Amazon Alexa.

• Using auto-complete text features.

• Performing complex medical diagnoses.

How does Machine Learning enable computers to make decisions?

• By following explicit, step-by-step programming instructions.

• By recognizing patterns and making decisions without explicit programming.

• By relying solely on human input for every decision.

• By performing calculations based on predefined formulas.

In the context of Machine Learning, what does "experience" primarily refer to?

• The computer's ability to interact with its environment.

• The amount of data it processes.

• The number of human programmers involved.

• The speed at which it executes tasks.