دانلود کتاب راهنمای قطعی عملیات یادگیری ماشین در AWS

Machine learning operations (MLOps) is when DevOps principles are applied to a machine learning system. This is a relatively new term as nowadays most businesses try to incorporate AI/ML systems into their products and platforms. MLOps is an engineering discipline that aims to unify ML systems development (dev) and ML systems deployment/operations (ops) to standardize and streamline the continuous delivery of high-performing models in production. MLOps aims to provide high-quality machine learning solutions in production in an automated and repeatable manner. MLOps has three contributing disciplines: machine learning, DevOps, and data engineering. MLOps is an extension of the DevOps practice of continuously building, deploying code, and testing applied to data engineering (data) and machine learning (models), as represented in Figure 1-1.