Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

What is AutoML? Automated machine learning, or AutoML, aims to reduce or eliminate the need for skilled data scientists to build machine learning and deep learning models.

Deep learning vs. machine learning: what's the difference between the two? We provide a simplified explanation of both AI-based technologies.

I will start out by explaining what machine learning is, along with the different types of machine learning, and then I will jump into explaining common models.

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 ...

This is the result of one of Google's machine learning algorithms; a system that detects what searches you make a couple seconds after making a certain search.

MIT's definition reads, "Machine-learning algorithms use statistics to find patterns in massive amounts of data, [including] numbers, words, images, clicks, what have you.

In order for machine learning to work, there must be data to train the algorithms—massive amounts of data. The ongoing global surge of AI in science and industry is due in part to the ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer ...