Inteligencia Artificial

What is the main goal of machine learning?

• Develop algorithms that can only make decisions based on human input

• Develop algorithms that can learn from and make predictions or decisions based on data

• Create static algorithms that cannot adapt to new data

• Use data to create visualizations without making predictions

Name one popular machine learning algorithm.

• Linear Regression

• K-means Clustering

• Logistic Regression

• Random Forest

What is computer vision?

• B

• C

• A

• D

How is computer vision used in AI?

• By allowing machines to taste and smell different substances

• By helping machines to perform complex mathematical calculations

• By enabling machines to understand and interpret audio signals

• By enabling machines to interpret and understand the visual world, such as recognizing objects, people, and scenes.

What are some ethical implications of AI in healthcare?

• Improved patient-physician relationship

• Patient privacy, data security, bias in algorithms, and potential for AI to replace human decision-making

• Increased accuracy in diagnosis

• Decreased cost of healthcare

How can bias be introduced in machine learning models?

• Unbiased training data, unbiased algorithms, and unbiased human input

• Random training data, random algorithms, and random human input

• Neutral training data, neutral algorithms, and neutral human input

• Biased training data, biased algorithms, and biased human input

What is the difference between supervised and unsupervised learning?

• Supervised learning uses only numerical data, while unsupervised learning uses categorical data.

• Supervised learning is used for classification tasks, while unsupervised learning is used for regression tasks.

• Supervised learning uses labeled data to train the model, while unsupervised learning uses unlabeled data.

• Supervised learning does not require a training phase, while unsupervised learning does.

Explain the concept of facial recognition in computer vision.

• Facial recognition is the process of identifying a person's voice using computer vision.

• Facial recognition in computer vision is the process of identifying a person's identity using their fingerprints.

• Facial recognition in computer vision is the process of identifying a person's identity using their body shape.

• Facial recognition in computer vision is the process of identifying or verifying a person's identity using their face.

What are some potential risks of using AI in autonomous vehicles?

• Reduced greenhouse gas emissions

• Some potential risks of using AI in autonomous vehicles include system malfunctions, cybersecurity threats, ethical concerns, and legal liability issues.

• Increased fuel efficiency

• Improved traffic flow

How can AI be used to improve customer service?

• Sending handwritten letters to customers

• Hiring more human customer service representatives

• Implementing chatbots, analyzing customer data, and predicting customer needs and behavior

• Ignoring customer feedback