Importance of Data Modeling and Subject Matter Experts In Machine Learning
A friend of mine recently reminded me of the notorious quote from Frederick Jelinek (the father of modern speech recognition), “Anytime a linguist leaves the group the recognition rate goes up.”I remember being quite upset about it, back during my lnguistics studies. Is it really so that if we exchange the domain experts (i.e. phonologists in his case) with pure engineers, the performance of the system will improve?This led me to think about my domain this time. Given a system that heavily utilizes machine learning (ML), what are the things that make its performance go up: the domain experts or the lack of these? For me it is clearly the former and here I will defend why.Just to set up the scene, I work in legal arena, a highly specialized…
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