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

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Performance

Performance

- [Narrator] So, now let's look at other considerations when looking at Machine Learning based systems. First is Machine Learning Performance. So, Machine Learning Performance is really consistent of the ability to execute the models in a very efficient way. The ability to deal with information storage and retrieval, the ability to interact with whatever platform it's running on, how we're going to tune the models and tune the data, so it lives up to the expectations of the business, how we're going to deal with security based systems, such as encryptions, how we're going to put guard rails around our Machine Learning based system and data in turns of governance, and how we're going to deal with specialized systems, such as Internet of Things or Edge-Based Computing. So within the realm of performance, in terms of Machine Learning based systems, we have a performance chain. We have the interface to the model and the data…

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