How does Google Cloud's AutoML assist non-experts in AI?

Google Cloud's AutoML is designed to make machine learning accessible to users who may not have extensive technical expertise or programming knowledge. It accomplishes this by automating the model-building process, allowing users to create custom machine learning models by simply providing their data and specifying the objective. This means that non-experts can focus on their specific use cases rather than getting bogged down in the intricate details of algorithm selection, feature engineering, or model tuning, which would typically require specialized knowledge and experience.

The automation aspect allows users to generate high-quality models without needing deep insights into the underlying algorithms or the complexities often associated with machine learning tasks. As a result, individuals in various fields can leverage AI technologies to improve their operations and decision-making without the barrier of technical skill that traditional machine learning frameworks might impose.