AutoML Explained: Automating the Complexities of Machine Learning

AutoML Explained: Automating the Complexities of Machine Learning laiba abdullah · Follow 5 min read · Just now Introduction to AutoML The development of ML models has traditionally involved an extensive and costly endeavour, which requires knowledge of the data science process, statistics, and the respective field. Starting from data pre-processing and feature engineering to model selection and hyperparameter tuning every step in the ML process requires virtually a similar amount of manual intervention and expertise as any step. But the situation is gradually transforming thanks to Automated Machine learning (AutoML). AutoML has been designed to make the usage of ML even by novice users much easier through the automation of many of the otherwise time-consuming and intricate processes involved in building and deploy an ML model. AutoML as […]

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