discuss some of the most common machine learning algorithms, and explain how those algorithms relate to the other pieces of the puzzle of creating predictive models from historical data.

With how common machine learning has become today ... location, and much more. A machine learning algorithm would be able to form relationships between these variables. It can help marketers ...

Two of the most common algorithms and models are mentioned ... or processors to speed up the training of large and complex machine learning models. Frameworks like Apache Hadoop and Apache Spark ...

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 ...

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 genomes.

We thought it would be helpful to put together a glossary with definitions of some of the most important words and phrases ...

Over the past few decades, robots have gradually started making their way into various real-world settings, including some ...

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

Personalization will become more common, with retailers using machine ... For example, robots that are equipped with machine learning algorithms can be trained to perform tasks such as welding ...

For example, if you want to automatically detect atrial fibrillation, a common type of irregular heart rhythm, you need to tell the machine-learning algorithm what atrial fibrillation looks like.