Machine Learning Times
Machine Learning Times
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Guidebook to the Future of Data Science: How to Navigate the Increasingly Symbiotic Dynamic Between Executives and Universities
 Book Review of Closing the Analytics Talent Gap: An...
Guilty or Not Guilty: Weight of Evidence
 You have been invited to serve as a juror...
How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...
Diversity and Collaborative Problem Solving to Address Wicked Data Ethics Problems
 The complexity of the ethical issues facing professionals who...
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7 months ago
97 Things About Ethics Everyone In Data Science Should Know

 Every now and then an opportunity comes along that you just can’t pass up. One such opportunity that fell into my lap was when O’Reilly media reached out to me to see if I was interested in partnering on a collaborative book on the ethics that surround data science. For those who know me and follow my work, they have seen me calling for more focus on ethics for several years. I’ve written blogs and papers on the topic, I’ve given many conference presentations on the topic (including at Predictive Analytics World 2019!), and I’ve had countless discussions

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