All programming languages have their proponents, but not all are equally equipped with libraries for data science and machine learning. (Image: Igor Stevanovic, Getty Images/iStockphoto) ...

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

Using six different machine learning algorithms, the researchers built 18 prediction models to test various combinations of factors.

Machine learning is undergoing a revolution because of new technologies and methods. Machine learning is a process of using a program to develop capabilities—like the ability to tell spam from ...

Moving toward Swift 6, the core development team behind Apple’s Swift programming language has set priorities including refining the language for use in machine learning. Ambitions in the ...

Companies suddenly started to use the terms machine learning and deep learning to market their products. Deep learning started to perform tasks that were impossible to do with rule-based programming.

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 ...

Deep learning has advanced to the point where it is finding widespread commercial applications. Find out what deep learning is, why it is useful, and how it can be used in a variety of enterprise ...

Thanks to a new machine-learning algorithm, scientists can now anticipate and recognize a protein's varied structural iterations.

At Nousot, I leverage the base knowledge in machine learning and data manipulation acquired during the MSR program. At AIR, I leverage the robotics skills in addition to the machine learning skills.