Hugo Bowne-Anderson
Host and producer of the Vanishing Gradients podcast, focusing on AI, ML, and data-science-driven product conversations. Guides interviews and frames discussions about evaluation and engineering practices for AI-powered software.
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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.
