What are different types of machine learning?

What are different types of machine learning?

• Supervised, Unsupervised, and Reinforcement

• Automatic, Manual, and Hybrid

• Cognitive, Behavioral, and Analytical

• Static, Dynamic, and Interactive

What is a Model in the context of AI and Machine Learning?

• A representation of a real-world process

• A computer program designed to make a decision

• A mathematical equation

• A type of computer hardware

What is Unsupervised Learning in the context of AI and Machine Learning?

• A) A method of teaching machines using labeled data

• B) Finding patterns in data that doesn't have any labels

• C) A supervised method that requires human intervention

• D) A type of learning where the model makes no decisions

What are Features in the context of AI and Machine Learning models?

• A) The outputs that the model predicts

• B) The algorithms used by the model to learn

• C) The inputs that the model uses to make decisions

• D) The labels used to categorize data

What does Supervised Learning refer to in the context of AI and Machine Learning?

• When a model learns without any guidance or examples.

• When a model is trained by a human using examples.

• When a model learns only from text-based data.

• When a model self-improves through trial and error without human intervention.

What is the process of giving examples to a model so it can learn called?

• Evaluation

• Labeling

• Training

• Prediction

What is the term for the output you are trying to decide or predict with a model?

• Feature

• Algorithm

• Data set

• Label