Machine learning relies on algorithms that “learn” from past examples, thereby relieving the programmer from having to write lines of code to deal with every eventuality.

If you’re into data and databases and you have not heard the term “machine learning,” may I suggest that you’re not reading enough? This technology is hot and hyped, largely because it is the secret ...

Applying machine learning algorithms and libraries: Standard implementations of machine learning algorithms are available through libraries, packages, and APIs (such as scikit-learn, Theano, Spark ...

Your Algorithms Cheat Sheet Who are the leading thinkers in algorithms? What are the big ethical debates? And what’s procedural generation? By Jacob Brogan Feb 02, 201610:28 AM ...

When the machine-learning algorithm combines the various kinds of metadata in its decisions, it can spot some 90 percent of cables that are classified, with a false positive rate of just 11 percent.