From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications
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Train - Amazon Web Services (AWS) Tutorial
From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications
Train
- [Instructor] So the next step in building our machine learning application and one that's unique to machine learning is the ability to train the models that we defined. So keep in mind that we're typically dealing with raw data. We're not creating net new information, we're training the models with existing scads of information. Huge amounts of information that are already in the business that we're able to leverage to train the knowledge base. So it has experience from existing data. It can discern patterns. Either supervised or unsupervised. Out of that raw data, we need to create training data. The ability to, in essence, bring information into the model that'll allow the model to gain experience and either we may have to tag the data, in some instances, it may be predefined from some data services but a way in which we can get information into the knowledge base and have it understand more about the world…
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