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Google AutoML Tables

Google AutoML Tables is a machine learning service that enables users to automatically build and deploy predictive models from structured data tables, streamlining the process of model creation without requiring extensive expertise in machine learning.

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About Google AutoML Tables

Google AutoML Tables was introduced by Google Cloud in 2019 to simplify the process of creating machine learning models from structured data. It aimed to make advanced machine learning accessible to users without deep expertise in the field, leveraging Google's expertise in AI and automation.

Strengths of Google AutoML Tables include ease of use, automation of complex processes, and integration with Google Cloud services. Weaknesses involve potential limitations in customization and dependency on Google's ecosystem. Competitors include Amazon SageMaker, Microsoft Azure Machine Learning, and H2O.ai.

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How to hire a Google AutoML Tables expert

A Google AutoML Tables expert must have skills in data preprocessing, familiarity with Google Cloud Platform, proficiency in SQL for querying data, knowledge of machine learning concepts, and experience with model evaluation and deployment.

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