Capturing Machine Learning History
Writing a comprehensive history of machine learning presents a unique challenge, as different perspectives abound. The focus here is on conveying mathematical concepts while acknowledging key contributors like Jurgen and others. By weaving narratives around specific developments, the importance of alternative viewpoints is highlighted, ensuring a well-rounded understanding of the field's evolution.In this clip
From this podcast
Machine Learning Street Talk (MLST)
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
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