Introduction to Artificial Intelligence and Machine Learning

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What is the main characteristic of unsupervised learning?

It involves training a model on labeled outputs

It allows the algorithm to act on information without guidance (correct)

It focuses on developing decision boundaries from labeled training data

It uses reinforcement to achieve a cumulative reward

Which machine learning type learns to make decisions by trial and error to achieve a cumulative reward?

Reinforcement Learning (correct)

Unsupervised Learning

Classification

Supervised Learning

What is the key focus of classification in supervised learning?

Categorizing data into a given number of classes

Making predictions and finding hidden patterns

Identifying which category an object belongs to based on its features (correct)

Defining decision boundaries from labeled training data

In which application is reinforcement learning commonly utilized?

Game playing Signup and view all the answers

What distinguishes unsupervised learning from supervised learning?

Unsupervised learning allows the algorithm to act without guidance Signup and view all the answers

What is the main goal of artificial intelligence (AI)?

To develop systems capable of performing tasks that require human intelligence Signup and view all the answers

Which type of machine learning involves training a model without labeled data?

Unsupervised learning Signup and view all the answers

What is the primary focus of reinforcement learning?

Achieving maximal cumulative rewards through decision-making Signup and view all the answers

In supervised learning, what is the aim when the output of the model is already known?

To learn a mapping from input to output Signup and view all the answers

Which tasks fall under examples of supervised learning?

Image recognition, speech recognition, and email spam detection Signup and view all the answers

Introduction to Artificial Intelligence and Machine Learning

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Questions and Answers

What is the main characteristic of unsupervised learning?

Which machine learning type learns to make decisions by trial and error to achieve a cumulative reward?

What is the key focus of classification in supervised learning?

In which application is reinforcement learning commonly utilized?

What distinguishes unsupervised learning from supervised learning?

What is the main goal of artificial intelligence (AI)?

Which type of machine learning involves training a model without labeled data?

What is the primary focus of reinforcement learning?

In supervised learning, what is the aim when the output of the model is already known?

Which tasks fall under examples of supervised learning?

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