From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications
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Requirement - Amazon Web Services (AWS) Tutorial
From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications
Requirement
- [Teacher] So now let's consider what it takes to build a machine learning based application. So there are several steps, ultimately it's around requirements, it's around design, it's around building, it's around training the models, and then deploying the models into production. So ultimately this is really about determining what the requirements are for your machine learning based application and this is important because if we don't understand the requirements or what the application or the model is designed to do then it is going to be very difficult for us to meet the needs of the business. So ultimately we have to ask ourselves a few questions. So why are we building this model? What problems are we looking to solve? Ultimately what applications, and there's typically going to be more than one application which is connecting to the machine learning based model. How are we going to leverage the training data? Where's it…
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