When dealing with the Industrial Internet, one of the most important components is the Edge. See how edge computing is a necessary part of your infrastructure.
A lot of players on the market have built successful MapReduce workflows to daily process terabytes of historical data. But who wants to wait 24h to get updated analytics?
Here is an introduction to using machine learning and AI to assist pharmaceutical companies in discovering new drugs, showing that machine learning with enough data can assist in every real-world problem solving.
Instead of operating on individual records, Hydrator now has the flexibility to operate at a record level or at a feed level. This paradigm shift allowed us to add three new plugin types that let users create complex data pipelines through the same simple drag and drop user interface.
In this the first part of this series, I discuss how to find the pieces of information about the cluster that an algorithm depends on with focus on YARN container size.
In this article, look at how to detect if a user is active on a Windows machine in order to help deliver notifications more effectively. Read on to find out more.
Ruby on Rails is great for startups, but people talk about Rails scalability issues when startup projects grow too large. Do you need to ditch Rails if your app goes big?
In this introductory post, the author will use Apache Spark MLlib to distinguish pop music from heavy metal for you to learn basic NLP pipeline and to have some fun.
Recently, the media boomed with news about MIT researchers who made a machine reading your emotions contactless. Will this machine revolutionize the Artificial Intelligence industry?