Practice Difference Between AI, ML, and Deep Learning - 1.2 | Chapter 1: What is Machine Learning? | Machine Learning Basics
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβ€”perfect for learners of all ages.

games

1.2 - Difference Between AI, ML, and Deep Learning

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take mock test.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does AI stand for?

πŸ’‘ Hint: Think about machines that act smart.

Question 2

Easy

Is Machine Learning a part of Artificial Intelligence?

πŸ’‘ Hint: Consider how many technologies fall under AI.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does AI primarily focus on?

  • Learning from Data
  • Performing human-like tasks
  • Understanding Language

πŸ’‘ Hint: Think about what makes machines intelligent.

Question 2

Is Deep Learning a part of Machine Learning?

  • True
  • False

πŸ’‘ Hint: Recall the hierarchy among AI, ML, and DL.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a multi-level educational tool that illustrates how AI, ML, and Deep Learning work together to improve technology.

πŸ’‘ Hint: Consider how each level builds on the previous one.

Question 2

Analyze a scenario where a machine learning model failed to predict an outcome. Describe the potential shortcomings in its learning process.

πŸ’‘ Hint: Think about how data quality affects learning.

Challenge and get performance evaluation