Automated Machine Learning: Making AI Development Easy and Accessible for All

Automated machine learning (AutoML) refers to the process of automating the laborious tasks associated with machine learning model development and hyperparameter tuning. AutoML aims to simplify and expedite the machine learning workflow by automating model selection, data pre-processing, feature engineering, hyperparameter tuning, and evaluation.

Going forward, AutoML capabilities will continue scaling up to handle larger and more intricate datasets. Advancements in self-supervised and transfer learning will facilitate improved AutoML performance even for data-scarce domains. Integration of AutoML within low-code/no-code platforms will propel its adoption across non-technical fields and democratize the benefits of AI.

Automated Machine Learning- https://themediumblog.com/...

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