Automated machine learning code completion tool
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Google AutoML Code Completion is a product that automates the process of developing machine learning models through code completion, requiring minimal coding for some tools while offering more flexibility through APIs and CLIs for advanced users. It follows similar steps to traditional machine learning, including problem definition, data gathering, preparation, model development, evaluation, and potential retraining. The tool guides users through model development with steps like data import, analysis, refinement, and configuration of training parameters before initiating the automated training process.
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