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10min chapter
813: Solving Business Problems Optimally with Data, with Jerry Yurchisin
Super Data Science: ML & AI Podcast with Jon Krohn
Navigating Optimization: Learning and Tools
This chapter delves into the incremental learning approach in optimization and model building, emphasizing the iterative development process and the inevitable challenges that arise. It explores the necessity of validating models and integrating AI tools effectively while highlighting the potential pitfalls of unrealistic model designs. The discussion also addresses the intricacies of coding with APIs and the practical limitations of current technologies in tackling complex optimization problems.
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