Summary

Summary

Assessment

Interactive Video

Engineering, Information Technology (IT), Architecture, Social Studies

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The final class of the AI course reviews key concepts and applications of AI, focusing on machine learning and natural language processing. It covers the types of machine learning, including supervised, unsupervised, and reinforcement learning, with a focus on supervised learning's classification and regression. The importance of data and datasets is highlighted, and the class concludes with an examination of decision trees and pruning techniques.

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5 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the two main types of artificial intelligence discussed in the course?

Machine learning and deep learning

Machine learning and natural language processing

Deep learning and robotics

Natural language processing and robotics

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of machine learning focuses on predicting data categories?

Regression

Classification

Unsupervised learning

Reinforcement learning

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of datasets in machine learning?

They are used to train models

They are used to test models

They are used to validate models

They are used to improve model accuracy

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a decision tree?

A neural network model

A clustering algorithm

A tree-like structure for decision making

A linear model for regression

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can the performance of a decision tree be improved?

By increasing the number of nodes

By using a different algorithm

By using a technique called pruning

By adding more branches

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