Automated Machine Learning (AutoML)
AutoML aims to automate various stages of the machine learning pipeline that typically require human expertise. This includes tasks such as feature engineering, model selection, hyperparameter optimization, and even neural architecture search. The goal is to make machine learning more accessible and efficient for users with varying levels of expertise.
It's like having an AI assistant that not only bakes the cake (trains the model) but also selects the recipe, measures ingredients, and adjusts oven settings perfectly.
AutoML democratizes AI development by reducing the need for specialized ML expertise, speeding up model deployment, and often finding solutions that humans might overlook.
Learn one new AI thing every day.
Daily Deck sends you seven plain-English cards like this every morning. Free.
Start free