Foundations of Machine Learning
Modern AI advancements heavily rely on empirical methods, yet understanding the mathematical foundations is crucial for grasping their power and limitations. The history of machine learning extends far beyond deep learning, with early neural networks emerging in the late 1950s and 1960s, showcasing a rich evolution of ideas that persisted even when initial models faced challenges.In this clip
From this podcast
Machine Learning Street Talk (MLST)
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
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