Practice Definition of Machine Learning (ML) - 1.2.2 | Module 1: ML Fundamentals & Data Preparation | Machine Learning
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

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define machine learning in your own words.

πŸ’‘ Hint: Think about learning from examples.

Question 2

Easy

What type of learning uses labeled data?

πŸ’‘ Hint: Consider the opposite of unlabeled data.

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 is machine learning?

  • A method of explicitly programming tasks
  • A subfield of AI that learns from data
  • An algorithm for feature extraction

πŸ’‘ Hint: Think about definitions related to AI.

Question 2

True or False: Unsupervised learning uses labeled data.

  • True
  • False

πŸ’‘ Hint: Consider how unsupervised learning functions.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a scenario where supervised learning could be used effectively. What kind of data would you need, and how would you train your model?

πŸ’‘ Hint: Consider the context of buying or selling.

Question 2

Develop an unsupervised learning approach for understanding customer segments in an e-commerce setting. What would be your input data and desired outcome?

πŸ’‘ Hint: Think about what you would want to learn from your customers.

Challenge and get performance evaluation