24. Summary

Summary

Let's summarize the ideas covered in this lesson to ensure you are leaving with the most important parts!

Specifically in this lesson, we looked at answering the following questions:

1. What is the machine learning workflow ?
   
   
2. How does deployment fit into the machine learning workflow?
   
   
3. What is cloud computing ?
   
   
4. Why would we use cloud computing for deploying machine learning models?
   
   
5. Why isn't ***deployment *** a part of many machine learning curriculums ?
   
   
6. What does it mean for a model to be deployed ?
   
   
7. What are the crucial characteristics associated with deploying models?
   
   
8. What are different cloud computing platforms we might use to deploy our machine learning models ?