Autonomous Navigation
AI Infrastructure
Automated machine learning systems that optimize and streamline the process of building ML models.
Detailed Explanation
AutoML (Automated Machine Learning) refers to systems designed to automate the end-to-end process of developing machine learning models. It includes tasks like data preprocessing, feature selection, model selection, and hyperparameter tuning. By streamlining these steps, AutoML enables faster, more efficient model development, making AI accessible to non-experts and enhancing productivity for data scientists and organizations.
Use Cases
- •AutoML enables non-experts to quickly develop optimized machine learning models for predictive analytics.
Related Terms
Other terms in the AI Infrastructure category