Types of AI Algorithms

What is the main characteristic of Supervised Learning?

• No need for a training phase

• Guessing the outcome

• Training on unlabeled data

• Training on labeled data

Give an example of a Supervised Learning algorithm.

• Linear Regression

• Random Forest

• K-means Clustering

• Decision Tree

What is the goal of Unsupervised Learning?

• To optimize a function by learning from input-output pairs

• To classify input data into predefined categories

• To predict future outcomes based on historical data

• To find data Features Without labeled input

In Reinforcement Learning, what does the agent learn from?

• Punishments or rewards

• Consequences or benefits

• Consequences or punishments

• Rewards or punishments

Provide an example of a Reinforcement Learning application.

• Teaching a dog to sit and stay

• Cooking a meal using a recipe

• Solving a crossword puzzle

• Training a robot to navigate through a maze to reach a target

What is the role of a 'supervisor' in Supervised Learning?

• Provide labeled training data

• Make decisions based on unlabeled data

• Provide incorrect training data

• Create chaos in the learning process

What is a key characteristic of Unsupervised Learning?

• No need for a training phase

• Training on labeled data

• Guessing the outcome

• Training on unlabeled data