How Automated ML (AutoML) Can Transform Your Business

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AutoML is a type of machine learning (ML) in which the tasks and processes for developing learning models for machines are automated rather than iteratively built by developers. As enterprises collect more data than any human could tackle, autoML helps by building ML models quickly and at scale. These tasks have become increasingly complex, and as more businesses adopt ML applications, the demand for ML experts and data scientists far outpaces enterprises' ability to hire them. Out-of-box autoML solutions, such as Auto-sklearn and Auto-PyTorch, have thus become more commonplace because autoML is more accessible to those with little or no coding experience. Since autoML automates tasks involved to optimize machine learning models and develop deep neural networks, this reduces the chance of error from human intervention.

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