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 ...

Then to optimize over that linear model they’ll show you gradient descent, and again you’ll note, “Well, that’s just calculus!” Support vector machines? Merely convex optimization. Naive Bayes? Just ...

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've ...

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...

Opinions expressed by Entrepreneur contributors are their own. We are on the brink of a massive technological revolution as we slowly move from the water and steam-powered first industrial revolution ...

In a recent study posted to Research Square*, researchers developed and tested a machine learning (ML)-based clinical decision support system (CDSS) to predict antibiotic resistance. Study: Predicting ...

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 ...