From the course: AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 3 Modeling
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Select from among classification, regression, forecasting, clustering, recommendation, and more - Amazon Web Services (AWS) Tutorial
From the course: AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 3 Modeling
Select from among classification, regression, forecasting, clustering, recommendation, and more
- [Instructor] How do you select the correct Machine Learning solution on the AWS platform? Well, a very easy way to start would be to read the Sagemaker algorithm documentation. AWS has great documentation about how an algorithm works that is included with Sagemaker, and that's a good starting point, right? Look at the classification algorithms they have, the regression algorithms, the forecasting algorithms. A second way to pick the correct ML solution would be to make sure you're framing the problem in a business sense. So, for example, if your organization wants to classify between a Book versus Food, right? That would be one of the ways to frame the problem. And then you would say, oh, I need to build a Classification problem. And then likewise, if you wanted to select a business problem that's framed in how many points per game, you could then go back and say, okay, this is a Regression problem. If you wanted to…
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