Is Jordan's work too theoretical for practice?
While my work emphasizes theoretical rigor, it is deeply motivated by practical challenges in data science and AI. The goal isn't just abstract theory; it's to provide foundational understanding that enables the development of more effective and trustworthy algorithms. Rigor ensures we understand the limitations and capabilities of these methods, leading to more robust applications. It's about ensuring that what works in practice also has a solid theoretical justification.
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