Analyzing Beer Flavor with Chemical Analysis and Machine Learning

The chapter delves into using chemical analysis combined with machine learning to predict and enhance beer flavor, detailing the measurement of various flavor compounds in beer, the identification of relationships between different chemical properties, and the challenges faced in sensory analysis. It also discusses the unexpected correlations discovered in data sets, the impact of biases in beer reviews on ratings, and the insights gained from analyzing consumer reviews to extract quantitative flavor scores.