WHAT IS AutoML Automated Machine Learning?
AutoML (Automated Machine Learning) is the process of automating the end-to-end workflow of building machine learning models, from data preprocessing and feature selection to model training, hyperparameter tuning, and evaluation. Instead of requiring data scientists to manually test hundreds of model combinations, AutoML systems search for the best-performing pipeline automatically using optimization techniques like Bayesian search, evolutionary algorithms, and reinforcement learning. This makes AI development faster, more efficient, and accessible even to non-experts. Popular tools like Google AutoML, H2O.ai, and Auto-sklearn are used to accelerate model deployment in industries such as finance, healthcare, retail, and marketing. In short, AutoML helps businesses build high-performing AI solutions with less manual effort, letting teams focus more on insights and strategy rather than coding and fine-tuning.