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.

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) ...

Another reason self-paced learning is so effective is that it mirrors how professionals work in real life. Data science ...

The complexity and size of software systems has increased to the extent that traditional manual development and maintenance ...

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 ...

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

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 ...

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

Machine learning is now helping researchers analyze the makeup of unfamiliar cells, which could lead to more personalized medicine in the treatment of cancer and other serious diseases.