From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications

Unlock the full course today

Join today to access over 22,400 courses taught by industry experts or purchase this course individually.

Design

Design

- So, once we understand the requirements, now we move on to design of our machine learning system. A couple of things to remember is this is ultimately us looking at the requirements, and then creating the design or the basic structure of how the system's going to work. We need to understand that we're dealing with data, we're defining the learning model, we're picking security systems, we're picking governance systems, and the application of governance through policies, we're looking at the technology that's a best fit for what we're doing, and ultimately coming up with a testing framework, whether that's going to be real-time testing, penetration testing, security testing, performance testing. We have to test all aspects of our machine learning based system. Then figuring out how we're going to push this into production. In other words, how deployment is going to occur. Are we going to do it continuously, where…

Contents