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AutoML

intermediate
ai

Definition

Automated Machine Learning — a set of cloud services that automate the end-to-end process of building, training, and deploying machine learning models without requiring deep ML expertise. Like having a self-driving car for data science, AutoML handles feature engineering, algorithm selection, hyperparameter tuning, and model evaluation automatically. AWS provides SageMaker Autopilot, Azure offers Azure AutoML, GCP has Vertex AI AutoML, and OCI offers OCI Data Science AutoML — all enabling business analysts and developers to build production-quality ML models from their data with minimal code.

Real-World Example

A retail company uploads three years of sales data to an AutoML service and asks it to predict next quarter's demand. The service automatically tries dozens of algorithms, tunes thousands of parameter combinations, and delivers a highly accurate forecasting model in hours — work that would take a team of data scientists weeks to accomplish manually.

Frequently Asked Questions

Compare Across Cloud Providers

AutoML is available across all major cloud platforms. Compare equivalent services:

AWS
Amazon SageMaker Autopilot
Azure
Azure Machine Learning AutoML
Google Cloud
Vertex AI AutoML
Oracle Cloud
OCI Data Science AutoML

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