ML as a Service
ML as a Service (MLaaS) is a cloud-based platform that provides machine learning tools, infrastructure, and pre-built models as a service, enabling developers to build, deploy, and scale ML applications without managing underlying hardware or complex ML workflows. It typically includes features like data preprocessing, model training, deployment, and monitoring, abstracting away the technical complexities of ML operations. This allows organizations to leverage machine learning capabilities with minimal expertise in data science or infrastructure management.
Developers should use MLaaS when they need to quickly integrate machine learning into applications without deep ML expertise, such as for adding recommendation systems, image recognition, or natural language processing features. It is ideal for startups, small teams, or projects with limited resources, as it reduces development time and costs by providing scalable, managed services. Use cases include building chatbots, fraud detection systems, or predictive analytics in web and mobile apps.