Probable Causes: Difference between revisions
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[[Morgan Stanley]] | Client: Theo Mauger, [[Morgan Stanley]] <Theo.Mauger@morganstanley.com> | ||
The probabilistic programming stack developed by Mansinghka’s team at the MIT AI Lab promises to deliver data science capabilities to a much broader range of users. Your task is to customise | The probabilistic programming stack developed by Mansinghka’s team at the MIT AI Lab promises to deliver data science capabilities to a much broader range of users. Your task is to customise the bayeslite implementation of BayesDB to make an accessible and interactive tool for use in public debate, allowing more technically informed discussion of health and safety issues, for example among local administrators trying to improve bicycle safety in Nairobi, based on the data sets such as https://tinyurl.com/ybbj69cn | ||
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Latest revision as of 08:12, 9 November 2018
Client: Theo Mauger, Morgan Stanley <Theo.Mauger@morganstanley.com>
The probabilistic programming stack developed by Mansinghka’s team at the MIT AI Lab promises to deliver data science capabilities to a much broader range of users. Your task is to customise the bayeslite implementation of BayesDB to make an accessible and interactive tool for use in public debate, allowing more technically informed discussion of health and safety issues, for example among local administrators trying to improve bicycle safety in Nairobi, based on the data sets such as https://tinyurl.com/ybbj69cn
