Cathy O'Neil

See the following -

9 Resources for Data Science Projects

Data science, machine learning, artificial intelligence, and deep neural nets are all hot topics these days (and key terms that might help this post with some SEO, unless the AI sees through my attempts). Below I've shared several of the resources I use regularly while working on data science projects over the last few years. I don't read many books, so that I've shared even one is evidence of how important it is. There are enough resources here to get even the most novice engineer started on a path towards data science mastery in this new age where data science skills will be needed at every level. There is a tool for performing the work, a class taught by a renowned Stanford professor, websites with tutorials to give you real-life experience, and a site dedicated to making the latest research available to all for free so you can learn more if you want.

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Artificial Intelligence Docs May Need Some Good AI Lawyers

A recent post highlighted how artificial intelligence (AI) is already playing important roles in health care, and concluded that expanded use of AI may be ready for us before we are ready for it.  One example of the kind of problem we'll face is: who would we sue if care that an AI recommended or performed went wrong? Because, you know, always follow the money. Last week Stanford's One Hundred Year Study On Artificial Intelligence released its 2016 report, looking at the progress and potential of AI, as well as some recommendations for public policy...

Q&A with Andy Oram: How Can We Tell Whether Predictive Analytics Are Biased?

Andy Oram | Zoom Data | May 24, 2017

The fear of reproducing society's prejudices through computer algorithms is being hotly discussed in both academic publications and the popular press. Just a few of the publications warning about bias in predictive analytics include the New York Times, the Guardian, the Harvard Business Review, and particularly a famous and hotly contested article by Propublica on predictions of recidivism among criminal defendants...

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