Automation to accelerate apply and outperform your machine learning models

Play Automation to accelerate apply and outperform your machine learning models
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Description

Automated machine learning, also referred to as AutoML, allows data scientists, analysts, and developers to build ML models with high scale, efficiency, and productivity all while sustaining model quality. Automated ML builds a set of ML models automatically, intelligently selecting models for training and then recommends the best one for you. Traditional machine learning model development is resource-intensive requiring significant domain knowledge and time to produce and compare dozens of models. With automated ML, you'll accelerate the time it takes to get production-ready ML models with great ease and efficiency.

Try a tutorial on automated ML: https://docs.microsoft.com/en-us/azure/machine-learning/service/tutorial-auto-train-models

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