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10 big data blunders to avoid
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Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
Using data science to forecast clinical trial outcomes
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MIT Sloan and CSAIL researchers apply artificial intelligence techniques to one of the largest datasets of clinical trial outcomes to handicap the drug and device approval process
Robots could give humans ‘superpowers’
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In a new book, MIT roboticist Daniela Rus looks at the powers and limitations of robots and how humans can work with them to unlock new capabilities.
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Consumer Finance Initiative | Our Data and Research Partners
A selection of current research from the Consumer Finance Initiative
A selection of current research from the Consumer Finance Initiative
Solving Food and Agriculture Challenges
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Professors Retsef Levi and Karen Zheng discussed their work in addressing food and agriculture issues across the globe at MIT Sloan Reunion 2023.