Category MLOps

Process Developing ML systems are iterative and in most cases a never-ending process. Here is a simplified representation of what that iterative process looks like.

Difference The terms “online prediction” and “batch prediction” can be confusing. Both can make predictions for multiple samples or one sample at a time and can make predictions asynchronously(when online prediction leverages a real-time transport to send prediction requests to…

Components When people say “Machine Learning”, they usually think of “Machine Learning Algorithms”, but actually, algorithms are only a small part of the entire system. Here is an overview of what is necessary to compose a Machine Learning System. Reference…

The 6 Phases CPMAI is a Best-practice methodology for AI Projects proposed by Cognilytica. This methodology consists of 6 phases. Phase 1: Business Understanding Assess the business situation Should you even use an AI in the first place? Is it…