Which Google Cloud service is commonly used for machine learning?

The Google Cloud AI Platform is specifically designed to facilitate machine learning development, deployment, and management. It offers a comprehensive suite of tools and services that cater to various stages of a machine learning project, from data preparation and training to model evaluation and deployment. This platform supports a wide range of machine learning frameworks, enabling users to easily build and train models using popular libraries such as TensorFlow, Scikit-learn, and more.

Additionally, the AI Platform integrates with other Google Cloud services, enhancing capabilities such as data storage, processing, and analysis, which are essential for successful machine learning projects. It provides an environment optimized for machine learning operations, including AutoML capabilities that allow for automated model training and optimization. These features are crucial for organizations looking to leverage machine learning effectively and efficiently.

Conversely, while Google Cloud Functions and Google Cloud Storage are useful for application development and data management, respectively, they do not have the specific functionalities tailored for machine learning. Google Cloud BigQuery, on the other hand, excels in data analytics and data warehousing but does not encompass the full range of tools necessary for machine learning model development and deployment. Therefore, the AI Platform stands out as the primary service for machine learning within the Google Cloud ecosystem.