AutoML

What Does AutoML Mean?

The Quick Answer

Automated Machine Learning (AutoML) simplifies creating machine learning models. It automates tasks like data handling and model selection. This allows even non-experts to use artificial intelligence (AI), making it easier for businesses to benefit from predictive analytics across various industries.

In Detail

AutoML streamlines the process of building and deploying machine learning models. By automating tasks like data preprocessing, feature engineering, model selection, and hyperparameter tuning, AutoML makes machine learning accessible to non-experts. AutoML systematically explores multiple algorithms and settings, optimizing for a chosen metric, and often arriving at solutions faster than human experts. It reduces the barrier to entry in the field of AI, empowering businesses and individuals to leverage predictive analytics without deep technical know-how. AutoML is a powerful tool for democratizing AI and driving innovation across industries, from healthcare to finance to retail.

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When I write AutoML, I mean this:

"Automated Machine Learning"

Summary of Key Points

"Automated Machine Learning" is, by far, the most common meaning for AutoML when it is used in a text. (Bear in mind that it could have another meaning if used in a different context.)