Practice Deployment - 30.4.4 | 30. Introduction to Machine Learning and AI | Robotics and Automation - Vol 2
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30.4.4 - Deployment

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does deployment mean in machine learning?

💡 Hint: Think about how a model can be put to use.

Question 2

Easy

Name the two primary methods of deployment discussed.

💡 Hint: One is on-site, the other relies on remote servers.

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 primary focus of deployment in machine learning?

  • Integration of models into applications
  • Training models
  • Data collection

💡 Hint: Think about what happens after a model is trained.

Question 2

True or False: Real-time predictions can be made by both embedded and cloud approaches.

  • True
  • False

💡 Hint: Consider the capabilities of both deployment strategies.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a construction site where real-time monitoring is critical. Develop a complete deployment plan for a predictive maintenance model, detailing the model's interaction with the embedded system and the cloud.

💡 Hint: Think about the advantages of using both embedded and cloud solutions.

Question 2

Analyze the trade-offs of using embedded versus cloud-based deployment for a machine learning model used in traffic management in urban infrastructure.

💡 Hint: Consider the demands of real-time vs. extensive data handling.

Challenge and get performance evaluation