30.4.4. Deployment

Try these first

1. 1.

   What does deployment mean in machine learning?

   Hint

   Think about how a model can be put to use.

2. 2.

   Name the two primary methods of deployment discussed.

   Hint

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

3. 3.

   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.

4. 4.

   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.

5. 5.

   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.

6. 6.

   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.