S4D Insights2019-06-21T16:28:36-05:00

The Myth of Model Interpretability

verbal explanations of complex machine learning models can potentially mislead users. Take linear models again as an example. Looking at which features get high weight, absent broader context, might yield dubious interpretations. What if one weight is high, but it's for a feature which takes the same value 95% of the time? In this case, this weight may not be [...]

January 28th, 2017|Categories: Science4Data|

Top 10 Hot Artificial Intelligence (AI) Technologies

The market for artificial intelligence (AI) technologies is flourishing. Beyond the hype and the heightened media attention, the numerous startups and the internet giants racing to acquire them, there is a significant increase in investment and adoption by enterprises. A Narrative Science survey found last year that 38% of enterprises are already using AI, growing to 62% by 2018. Forrester [...]

January 28th, 2017|Categories: Science4Data|
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