The correct option is False. The statement is incorrect because automated machine learning tools are typically designed to lower the barrier to building models and they are often intended for users who do not have strong data science or programming expertise.

Automated machine learning automates tasks such as feature engineering, model selection, and hyperparameter tuning and that makes it useful for less experienced users and for teams that want to iterate quickly without writing extensive custom code. Guided builders and wizard style interfaces are likewise aimed at helping users who lack deep expertise, and experienced data scientists may still use automated tooling for speed or as a baseline.

True is wrong because it reverses the intended audiences. The option suggests that automated ML is mainly for strong data science and programming users and that guided builders are for novices, and in practice automated ML and guided model builders are both designed to help users with limited expertise while experienced practitioners use code first tools when they need fine grained control.

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