From the course: Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications
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Train - Azure Tutorial
From the course: Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications
Train
- [Narrator] So training your models, which is going to be a core requirement for making your machine learning based application work, is really something that if you do design and you do build correctly, should be fairly easy and straightforward. However, especially when you're training the models for your first time, you need to understand that there's certain desirable outcomes that you need to look out for and ensure occur. So keep in mind that when we're training machine learning based models we're dealing with lots of raw information and sometimes that information may not be in a correct format or even be an error. In that we're only going to be able to train in machine learning based systems, really dependent on the quality of the raw data that it's ingesting. So ultimately we're taking raw data and we're turning that in to some sort of a database that's able to train the machine learning system. Now what that…
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