30.4.4 - Deployment
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What does deployment mean in machine learning?
💡 Hint: Think about how a model can be put to use.
Name the two primary methods of deployment discussed.
💡 Hint: One is on-site, the other relies on remote servers.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary focus of deployment in machine learning?
💡 Hint: Think about what happens after a model is trained.
True or False: Real-time predictions can be made by both embedded and cloud approaches.
💡 Hint: Consider the capabilities of both deployment strategies.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.