723: Mathematical Optimization, with Jerry Yurchisin
Super Data Science: ML & AI Podcast with Jon Krohn
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Mathematical Optimization in Data Science
The chapter delves into the intricacies of mathematical optimization and its crucial role in data science, discussing how tools like Gurobi can aid in solving complex problems efficiently. The speakers highlight the importance of having a diverse skill set in problem-solving and address misconceptions about optimization as a decision tool falling under prescriptive analytics and decision intelligence. The conversation explores the process of formulating business problems mathematically through terms like linear programming and mixed integer linear programming, emphasizing the complexity and challenges involved in finding optimal solutions.
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