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 ...

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) ...

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 ...

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 ...

Apurva Pathak is a prominent machine learning expert and software engineer currently based in Newark, California. With a ...

Curriculum & Requirements Curriculum Overview The minor in Machine Learning and Data Science consists of 8 courses: 1 course in Programming Foundations 1 course in Statistics Foundations 4 ...

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

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

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 ...