If there’s one thing people know how to do, and that’s guess what caused something else to happen. Usually these guesses are good, especially when making a visual observation of something in the physical world. AI continues to wrestle with such inference of causality, and fundamental challenges must be overcome before we can have “intuitive” machine learning.
Originally from KDnuggets https://ift.tt/3dORhwD
source https://365datascience.weebly.com/the-best-data-science-blog-2020/why-machine-learning-struggles-with-causality
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