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 nik bear brown


Nik Bear Brown posted on LinkedIn

#artificialintelligence

INFO 7375 - Special Topics in Artificial Intelligence Engineering and Applications - Computational Skepticism is looking for experts to speak online this summer on a variety of subjects. The Computational Skepticism class is starting today!!! I'd like to thank Kinesso, H2O.ai, Squark Ai, ArrowDx, and the Computational Radiology Laboratory at Harvard/BCH for expressing an interest in speaking with the class. These are all online talks and can be with just a small group of around 20, or we can invite the thousands of Masters students in MGENs Boston, Silicon Valley, and Seattle campuses. These subjects include data quality and completeness, bias and fairness, AutoML, model interpretability, causal inference, counterfactual models, deep learning pipeline (AutoDL), time-series pipeline (AutoTS), feature engineering pipeline (AutoFE), autoVisualization (AutoViz), reinforcement learning pipeline (AutoRL), evidence knowledge graphs (EKG) We are looking for more companies and research groups that may be willing to share data and present how they are using machine learning.