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Cloud Machine Learning

Cloud Machine Learning refers to machine learning services and platforms provided by cloud providers, enabling developers to build, train, deploy, and manage ML models without managing underlying infrastructure. These platforms offer tools for data preparation, model training, hyperparameter tuning, and deployment at scale. They typically integrate with other cloud services for data storage, compute, and monitoring.

Also known as: Cloud ML, MLaaS, Machine Learning as a Service, Cloud AI, AI Platform
🧊Why learn Cloud Machine Learning?

Developers should use Cloud Machine Learning when they need scalable, managed ML infrastructure to accelerate development and reduce operational overhead, such as for building predictive analytics, natural language processing, or computer vision applications. It's ideal for teams lacking dedicated ML infrastructure expertise or needing to handle large datasets and complex models efficiently, often in production environments requiring high availability.

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