Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules ...

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

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) ...

Machine learning and conventional programming language are two different approaches to computer programming languages that yields different outcomes or expectations. By definition, Machine Learning is ...

From Python and Java to C++, R and Lisp, these languages offer powerful capabilities for working with machine learning algorithms to build AI apps.

Corey Schafer Although not exclusively devoted to machine learning, Corey Schafer’s YouTube channel includes several great videos on data science and Python 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 ...

In the sixty years since Arthur Samuel first published his seminal machine learning work, artificial intelligence has advanced from being not as smart as a flatworm to having less common sense ...

Intel unveils ControlFlag, a machine programming research system that can autonomously detect errors in software code.

A U.S. Navy Request For Information (RFI) has outlined the future of subsurface naval combat capability within the AN/BYG-1 ...