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Hugo Bowne-Anderson

Data scientist and host of the Vanishing Gradients podcast, focusing on critical conversations about data science, machine learning, and AI.

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Nov 20, 2022 • 1h 9min

Episode 14: Decision Science, MLOps, and Machine Learning Everywhere

Hugo Bowne-Anderson discusses decision science, MLOps, and the ubiquity of machine learning models. Topics include decision-making under uncertainty, biases in data collection, MLOps and DevOps convergence, digital feedback loops, Google's search evolution, and the impact of modern algorithms on reality perception.