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He has printed papers on topics including insurance policies analytics, solution pricing and algorithmic trading. Dan has taught courses in machine learning, simulation, in addition to statistics and python for excellent Learning.
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Recognize the vulnerabilities of AI programs and practices to ingrain robustness and privacy Attain skills to research the pitfalls of algorithmic determination-producing to mitigate bias, inequity, and overconfidence Learn how AI styles the world and strategic intervention can direct the trajectory towards benevolent outcomes
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Connections with a professional network of instructors and peers that lasts properly outside of the course. The global GA Neighborhood will let you navigate and achieve the sector.
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