AutoML is a tool that automatically selects and optimizes machine learning pipelines based on a given dataset and task. It can be used to improve model building efficiency and achieve better results. AutoML works by exploring a search space of possible pipeline configurations and using an optimizer to find the best pipelines.
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TranscriptManual Machine LearningAutomated Machine Learning (AutoML)Programming Model for Gradual AutoMLDataset (credit-g from OpenML)Total AutomationInspect PipelinesCreate a Pipeline from Scratch: CombinatorsExecution ModesRefine a PipelineSearch Spaces and OptimizersClass Imbalance Correction Using Over-sampling and Under-samplingAutoML with Imbalance CorrectionFairness and AutoMLResourcesQuestions and AnswersSort: