What is a key consideration when deploying a machine learning model in a real-ti
Practice Questions
Q1
What is a key consideration when deploying a machine learning model in a real-time application?
Model accuracy
Latency and response time
Data storage requirements
Training time
Questions & Step-by-Step Solutions
What is a key consideration when deploying a machine learning model in a real-time application?
Step 1: Understand what a real-time application is. It is an application that needs to provide results immediately, like a chat app or a recommendation system.
Step 2: Identify what latency means. Latency is the time it takes for the model to process data and give a response.
Step 3: Recognize that users expect quick responses. If the model takes too long, users may get frustrated or leave the application.
Step 4: Consider how to reduce latency. This can involve optimizing the model, using faster hardware, or simplifying the data being processed.
Step 5: Test the model in real-time scenarios to ensure it meets the required response time.
