AI and Statistics: Perfect Together
Many companies develop AI models without a solid foundation on which to base predictions — leading to mistrust and failures. Here’s how statistics can help improve results.
People are often unsure why artificial intelligence and machine learning algorithms work. More importantly, people can’t always anticipate when they won’t work. Ali Rahimi, an AI researcher at Google, received a standing ovation at a 2017 conference when he referred to much of what is done in AI as “alchemy,” meaning that developers don’t have solid grounds for predicting which algorithms will work and which won’t, or for choosing one AI architecture over another. To put it succinctly, ...
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