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Learning AWS - Second Edition by Amit Shah, Aurobindo Sarkar

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Understanding Amazon SageMaker algorithms and features 

In this section, we present some of the key algorithm design choices and features in Amazon SageMaker that make them an excellent option for your machine learning applications. The following are some of its key features:

  • Based on streaming: Amazon SageMaker algorithms are all based on streaming (data points seen only once). Based on the streaming data, a state (of fixed size) is set; so it does not matter how much data you have streamed (the data structure used is not going to grow in size). Hence, the memory footprint of the algorithm is going to be fixed and the run time/costs remain linear to the size of the data.
  • Support for incremental training: These algorithms are designed to ...

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