Machine Learning System Design

As ML applications are maturing over time and becoming an indispensable component of industries for making faster and accurate decisions for critical and high-value transactions. In all the above scenarios, the expected ML response is accurate, fast, and reliable. Scalability, maintainability, and adaptability also become critical as we move towards making ML one of the main components of enterprise-level applications. Hence, designing of end to end system keeping requirements of ML becomes important. The process of defining an interface, algorithm, data infrastructure, and hardware for ML Learning system to meet specific requirements of reliability, scalability, maintainability, and adaptability.