The blog’s content ranges from advanced ML engineering techniques to thoughtful guides on creating evaluation infrastructures for AI, including how to generate meaningful synthetic tests and interpret model outputs. The writing supports engineers and product leaders seeking to understand the inner workings of modern AI systems and improve them systematically.

Orthogonal partial least squares discriminant analysis (OPLS-DA) was introduced as an improvement of the PLS-DA approach to discriminate two or more groups (classes).