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Weight & Biases Cofounder, Chris Van Pelt, comes to HDSI to discuss deep learning in the real world, what is working in industry and academia, and what isn’t. Over the past 10 years, Chris has watched lots of companies attempt to deploy machine learning — some succeed wildly and some fail spectacularly. One constant is that machine learning teams have a hard time setting goals and setting expectations. This talk will give some examples of how teams fail and recommendations for everyone from executives to researchers to make their machine learning projects work better.Chris Van Pelt is a co-founder of Weights & Biases, an experiment tracking platform for deep learning. In 2009, Chris founded Figure Eight/CrowdFlower. Over the past 10 years, Chris has dedicated his career optimizing ML workflows and teaching ML practitioners, making machine learning more accessible to all.