What is AutoML?

In this article, you can explore AutoML, can AutoML replace Data Scientists, is AutoML close to Strong AI and, what is the difference between AutoML and Neural Architecture Search? Automated Machine Learning (AutoML) is tied in with producing Machine Learning solutions for the data scientist without doing unlimited inquiries on data preparation, model selection, model hyperparameters, and model compression parameters. On top of that AutoML frameworks help the data scientist in data visualization, model intelligibility, and model deployment. AutoML is viewed as about algorithm selection, hyperparameter tuning of models, iterative modeling, and model evaluation. It is about making Machine Learning tasks easier to use less code and avoid hyper tuning manually.