Practice Definition Of Machine Learning (ml) (1.2.2) - ML Fundamentals & Data Preparation
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Definition of Machine Learning (ML)

Practice - Definition of Machine Learning (ML)

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define machine learning in your own words.

💡 Hint: Think about learning from examples.

Question 2 Easy

What type of learning uses labeled data?

💡 Hint: Consider the opposite of unlabeled data.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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

💡 Hint: Think about definitions related to AI.

Question 2

True or False: Unsupervised learning uses labeled data.

True
False

💡 Hint: Consider how unsupervised learning functions.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Consider the context of buying or selling.

Challenge 2 Hard

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

💡 Hint: Think about what you would want to learn from your customers.

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Reference links

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