Academic Pursuits in Data
Rob shares his journey back to academia, driven by a desire to tackle unresolved industry challenges. He emphasizes the importance of understanding priors in statistics and their impact on inferences, while also exploring the connection between neural networks and Gaussian processes. His passion for building tools to enhance model comprehension shines through as he reflects on his experiences in both industry and academia.In this clip
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