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How much math knowledge do you need for machine learning and deep learning? Some people say not much. Others say a lot. Both are correct, depending on what you want to achieve. There are plenty of ...
Last year, I started writing about my experiences taking courses on machine learning and artificial intelligence. One of the big, unexpected problems I ran into was calculus and linear algebra. I ...
A newly developed machine learning algorithm is taking on math problems that have vexed experts for decades.
Would people who are strong in math be good in machine learning? This question was originally answered on Quora by Travis Addair.
Engineer to combine math, machine learning and signal processing to lay groundwork for high-resolution microscope by Beth Miller, Washington University in St. Louis ...
Machine learning and math can’t trump smart attackers Machine learning alone is not enough to protect endpoints and predicting an attacker's next moves. Other security solutions and human input ...
Machine learning models hold great promise in helping expand credit access to those who are unfairly denied, especially those with thin credit files. But it also poses implementation pitfalls for ...
Two papers by leading labs published in the journal Nature today show that machine learning can be applied to tasks as technically demanding as protein generation and as abstract as pure mathematics.
Machine learning leads mathematicians to unsolvable problem Simple artificial-intelligence problem puts researchers up against a logical paradox discovered by famed mathematician Kurt Gödel.
Researchers use 'hole-y' math and machine learning to study cellular self-assembly Date: May 19, 2021 Source: Brown University Summary: A new study shows that mathematical topology can reveal how ...
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