It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

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 ...

Very basically, a machine learning algorithm is given a “teaching set” of data, then asked to use that data to answer a question. For example, you might provide a computer a teaching set of ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

The amount of data collected about health care in the United States is enormous 1 and continues to grow rapidly. Machine learning has become embedded in the health insurance industry for tasks ...

The name CEBRA is an apt one because the algorithm ‘stripes’ the information to handle the joint data. Furthermore, zebras have become particularly fashionable in machine learning, thanks to a ...