ICT 7 DISK MAY 2024

What is machine learning?

• Machine learning is the process of teaching computers to think like humans.
• Machine learning is the development of algorithms and statistical models that enable computers to learn and improve from experience without being explicitly programmed.
• Machine learning is the study of mechanical systems and robotics.
• Machine learning is the practice of manually inputting data into computers for analysis.

What is the main objective of using features in a machine learning model?

• To reduce the accuracy of the model predictions
• To increase the complexity of the model unnecessarily
• To confuse the model and hinder its performance
• To provide relevant information or input variables for the model to learn patterns and make accurate predictions.

Which term refers to the systematic error in a model that leads to certain outcomes being favored over others?

• variance
• bias
• accuracy
• precision

In Google's email service, what are the 'features' used in their spam detection model?

• email subject analysis, IP address reputation, user's device type
• email attachment scanning, sender's phone number verification, user's browsing history
• email size analysis, recipient's location tracking, user's social media activity
• sender's email reputation, email content analysis, user's interaction with emails, machine learning algorithms

What is supervised learning?

• Supervised learning is a type of machine learning where the model is trained on unlabeled data.
• Supervised learning is a type of machine learning where the model is trained without any data.
• Supervised learning is a type of machine learning where the model is trained on images only.
• Supervised learning is a type of machine learning where the model is trained on labeled data.

What is training in the context of machine learning?

• The process of shutting down a machine learning model
• The process of ignoring data in machine learning
• The process of deleting a machine learning model
• The process of feeding a machine learning model with data to adjust its internal parameters and improve its performance on a task.

Which company uses machine learning to personalize product recommendations for users?

• Amazon
• Microsoft
• Apple
• Google

Which company's algorithm is an example of a classification problem for identifying inappropriate content?

• Facebook
• Twitter
• Amazon
• Google

What is classification in machine learning?

• Classification in machine learning involves grouping data into predefined classes or categories.
• Classification involves predicting continuous values.
• Classification is a regression technique in machine learning.
• Classification is used for clustering data.

What is bias in the context of machine learning?

• Bias is the accuracy achieved by approximating a real-world problem, leading to precise predictions or conclusions.
• Bias is the error introduced by approximating a real-world problem, leading to inaccurate predictions or conclusions.
• Bias is the error introduced by underfitting a machine learning model, resulting in overgeneralization.
• Bias is the tendency of a machine learning model to favor certain outcomes over others, regardless of the data.