Practice Key Components of an ML System - 6.1.2 | Machine Learning Basics | AI Course Fundamental
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Key Components of an ML System

6.1.2 - Key Components of an ML System

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the main purpose of data in an ML system?

💡 Hint: Think about what you need to start learning.

Question 2 Easy

Define what a model does in machine learning.

💡 Hint: Consider what it means to learn from something.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main role of data in a machine learning system?

To provide algorithms
To train the model
To generate predictions

💡 Hint: Think about what you need for the model to learn.

Question 2

True or False: A model is the framework through which predictions are computed.

True
False

💡 Hint: Consider the purpose of models in machine learning.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design an ML system for predicting housing prices. Describe what data you would use, what model you would select, how you would apply a learning algorithm, and what predictions you expect.

💡 Hint: Think about the type of data that influences house prices.

Challenge 2 Hard

Discuss a situation where the choice of model drastically changes the predictions produced. What factors contribute to this?

💡 Hint: Consider the effects of model complexity on performance.

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