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

Test your understanding with targeted questions related to the topic.

Question 1

Easy

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

πŸ’‘ Hint: Think about what you need to start learning.

Question 2

Easy

Define what a model does in machine learning.

πŸ’‘ Hint: Consider what it means to learn from something.

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 the main role of data in a machine learning system?

  • To provide algorithms
  • To train the model
  • To generate predictions

πŸ’‘ 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

πŸ’‘ Hint: Consider the purpose of models in machine learning.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

πŸ’‘ Hint: Think about the type of data that influences house prices.

Question 2

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

πŸ’‘ Hint: Consider the effects of model complexity on performance.

Challenge and get performance evaluation