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Google Cloud Machine Learning Services Print

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Managed options.

WHAT READY-MADE APIs PROVIDE

Vision, speech, translation, natural language and document processing, without training anything.

WHAT THEY SUIT

Common tasks, where a general model is adequate.

WHY TO CONSIDER THEM FIRST

They require no data, no training and no deployment.

WHAT THEY COST

Per request, and data leaves your environment.

WHAT THE UNIFIED PLATFORM PROVIDES

Training, tuning, deployment, monitoring and pipelines in one place.

WHAT IT SUITS

Teams needing custom models without operating infrastructure.

WHAT AUTOMATED TRAINING PROVIDES

Models trained from your data with minimal configuration.

WHAT IT SUITS

Establishing whether a problem is solvable, quickly.

WHAT TO BE CAREFUL WITH

Training cost, which accumulates quickly Endpoints left deployed, billed continuously

WHY THAT SECOND POINT

A deployed endpoint costs whether or not it receives requests.

WHAT TO DO

Undeploy what is not in use.

WHAT TO ESTABLISH BEFORE ANY OF THIS

Whether machine learning is the right approach at all.

WHAT FREQUENTLY IS BETTER

Rules, a lookup, or a simpler statistical method.


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