Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The tech giant says a breakthrough in data center networking has dramatically accelerated the flow of information through its massive cloud infrastructure. The new technology hinges on a “quasi-random ...

A problem so hard even Google relies on random chance Today we're looking at HyperLogLog, an algorithm that leverages random chance to count the number of distinct items are in a dataset. It does this ...

Online sexism is often dismissed as random — just a few bad comments or offensive jokes. But what appears scattered and spontaneous is increasingly structured, repeated and amplified in ways that make ...

If you’ve been to Random Sample to see an art exhibition, or watch a live band, or even participate in a book club, you know just where to find its original home. It’s a white cinderblock building ...

As one gains seniority, there is a presumption—dubious, perhaps—that one also gains wisdom. Thus, I find myself asked, not infrequently, to share some wisdom with junior researchers who seek insight ...

The potential of quantum computers is currently thwarted by a trade-off problem. Quantum systems that can carry out complex operations are less tolerant to errors and noise, while systems that are ...

Note: The following article contains spoilers about the Netflix series “3 Body Problem.” I first encountered the three-body problem 60 years ago, in a short story called “Placet is a Crazy Place” by ...

In recent years, neural networks have once again triggered an increased interest among researchers in the machine learning community. So-called deep neural networks model functions using a composition ...