Principles of Rigorous Development and of Appraisal of ML and AI Methods and Systems
摘要
The chapter outlines a comprehensive process, governing all steps from analysis and problem domain needs specification, to creation and validation of AI/ML methods that can address them. The stages are explained and grounded using existing methods examples. The process discussed equates to a generalizable Best Practice guideline applicable across all of AI/ML. An equally important use of this Best Practice is as a guide for understanding and evaluating any ML/AI technology under consideration for adoption for a particular problem domain.