Organize, track and compare your machine learning training experiments (Hebrew)

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Published Feb 20, 2025

Machine learning is an iterative process. You need to experiment with several combinations of data, algorithm and parameters, all the while observing the impact of such incremental changes on model accuracy. Over time, this iterative experimentation can result in hundreds and thousands of model training runs and model versions, making it hard to track the best performing models and their input configurations.

Amazon SageMaker Experiments makes it easy to manage your machine learning experiments. It automatically tracks the inputs, parameters, configurations, and results of all your iterations as trials

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