723: Mathematical Optimization, with Jerry Yurchisin
Super Data Science: ML & AI Podcast with Jon Krohn
Mathematical Optimization vs. Machine Learning in Various Applications
The chapter explores the benefits of using mathematical optimization and machine learning in different scenarios, emphasizing how each excels in specific tasks like decision-making and understanding demand, respectively. It delves into the relationship between these two concepts, showcasing examples of optimization in regression objectives, feature selection, and plagiarism detection in natural language processing. The guest speaker intertwines math, sports, and fun, discussing the application of mathematics in predicting player outputs, injury likelihoods, and building optimal fantasy sports lineups using mathematical optimization.
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