Machine Learning Evolution
Suju shares his journey through the evolution of machine learning, highlighting his work on knowledge transfer and the challenges of scaling models for real-time applications. He emphasizes the importance of understanding causality in advertising models and the constraints of operating within tight latency windows. His experience at Critio showcases the complexities of computational advertising and the necessity for effective measurement in consumer-facing products.In this clip
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