Data analysts aiming to become machine learning engineers should familiarize themselves with AutoML platforms. These tools automate data preprocessing, model selection, and hyperparameter tuning, allowing analysts to build models more efficiently without deep expertise in every algorithm. Mastery of AutoML tools like Google AutoML, H2O.ai, or auto-sklearn will be invaluable as they reduce the barrier to entry for model development.
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