What is Automated Machine Learning?
Automated Machine Learning, or AutoML, is a process that automates the end-to-end process of applying machine learning to real-world problems.
How does AutoML differ from traditional machine learning?
Unlike traditional machine learning, which requires manual intervention for model selection and tuning, AutoML automates these tasks, making it easier for non-experts.
What are the benefits of using AutoML?
The benefits include faster model development, reduced need for expertise, and the ability to handle large datasets efficiently.
Can you give me examples of AutoML tools?
Sure! Some popular AutoML tools include Google Cloud AutoML, H2O.ai, and DataRobot.
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