Other common machine learning regression algorithms (short of neural networks ... GMM (Gaussian Mixture Models), and HAC (Hierarchical Agglomerative Clustering). Dimensionality reduction is ...

Yet even within computer science, machine learning is notably opaque. In his new book The Master Algorithm, Pedro Domingos covers the growing prominence of machine learning in close but accessible ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation ...

Human programmers don't teach machine learning systems how to solve problems, nor do they generally understand the algorithm that a computer devises based on the data. Here is a brief introduction ...

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...