AutoML Automated Machine Learning BootCamp (No Code ML)

January 19, 2023

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AutoML Automated Machine Learning BootCamp (No Code ML)

Construct State of the Artwork Machine Learning Fashions with no single line of code

Table of Contents

Description

“No code” machine studying (ML) refers to the usage of ML platforms, instruments, or libraries that permit customers to construct and deploy ML fashions with out writing any code. This method is meant to make ML extra accessible to a wider vary of customers, together with those that might not have a powerful programming background.

Amazon SageMaker is a completely managed machine studying service supplied by Amazon Net Companies (AWS) that allows builders and information scientists to construct, practice, and deploy machine studying fashions at scale. SageMaker additionally contains built-in algorithms, pre-built libraries for frequent machine studying duties, and a wide range of instruments for information pre-processing, mannequin tuning, and mannequin deployment. SageMaker additionally integrates with different AWS providers to supply a whole machine studying atmosphere.

AutoML in SageMaker refers back to the computerized choice and tuning of machine studying fashions to enhance the accuracy and efficiency of the fashions. This may be performed by utilizing SageMaker’s built-in algorithms and libraries or by utilizing customized algorithms and libraries. SageMaker additionally features a function referred to as Automated Mannequin Tuning which permits for tuning of the hyper-parameters of the fashions to enhance their efficiency.

SageMaker Studio Canvas additionally permits customers to simply share their notebooks, recipes, and information with different customers and collaborate on tasks. This helps to simplify the machine studying improvement course of, speed up the event of machine studying fashions, and enhance collaboration amongst groups.