TL;DR
This paper is a technical memoir discussing fundamental concepts in machine learning and AI, their applications, and personal stories behind their development, reflecting on the author's work at Stanford and Microsoft Research.
Contribution
It provides a personal perspective on key ideas and developments in machine learning and AI, linking theory, application, and history.
Findings
Highlights fundamental concepts in ML and AI
Shares insights and stories behind key innovations
Connects theoretical ideas with practical applications
Abstract
This manuscript is technical memoir about my work at Stanford and Microsoft Research. Included are fundamental concepts central to machine learning and artificial intelligence, applications of these concepts, and stories behind their creation.
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Taxonomy
TopicsComputational Physics and Python Applications