SageMaker is a fully managed service for developers and data scientists to build machine learning model.
So all of the services we've seen so far like Amazon Comprehend or Amzon Rekognition are managed machine learning service with a very specific purpose, for example translates some text, transcribes some audio, or convert text into audio or analyze parts of a text, but SageMaker is a higher level machine learning service where you have your actual developers or your data scientists within your organization create and build machine learning model.
So it is a lot more involved and a lot more difficult to use.
Now, when you want to do this kind of processes to build a machine learning model, you have to do a bunch of steps that you have to follow, and all these are quite difficult to do in one place, plus you need to provision some servers to perform these competitions to create these models, and that can be cumbersome as well.
So this is where SageMaker comes in, it will try to help you all along the way for the process.
to build your ML model, you can use SageMaker to do the following steps:
- Gather as much data as possible and label it.
- Build a machine learning model, so, you have to train it and tune it.
- Deploy your machine learning model
- Apply the machine learning model that you have created on any new data coming in to predict the labels.
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