From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications
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Deploy - Amazon Web Services (AWS) Tutorial
From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications
Deploy
- [Instructor] So the final step in the process is deploying the machine learning application into production. So ultimately, this is typically going to be real-time. We're going to move the machine learning instances out in production as they become available. We're looking at other deployment capabilities, such as batch deployment, the ability to load systems up with data that may be analyzed using the machine learning system. So, we can do so in an interactive real-time way, or we can do so in a batch way. We have to look at operations that are innate to data. In other words, we're dealing with databases, and we're dealing with training data, and when you have to operate those systems, we have to back them up, we have to do business continuity disaster recovery systems on them, we have to secure them, other operations have to occur on that data. We have to operate our knowledge base, as well. We have to maintain the…
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