Intermediate · Systems
Automated machine learning (AutoML)
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. Automating the process of building and optimizing machine learning models.
Technical Definition
Automating the process of building and optimizing machine learning models.
How it works
Automated Machine Learning (AutoML) is a field focused on automating the end-to-end process of applying machine learning to real-world problems. It aims to make ML more accessible by automating tasks like data preprocessing, model selection, hyperparameter tuning, and deployment, thereby improving efficiency and performance.
Related Concepts
- Feature Engineering — The process of creating, selecting, and transforming input variables to improve a machine learning model's performance.
- Hyperparameter Tuning — The process of finding optimal configuration values that control model training, such as learning rate, batch size, and architecture choices.
- Machine Learning — A field of AI where systems learn patterns from data instead of following hard-coded rules.