Developers know a lot about the machine learning (ML) systems they create and manage, that’s a given. However, there is a need for non-developers to have a high level understanding of the types of ...

Machine learning is a branch of computer science that teaches computers to 'learn' patterns from data instead of being programmed step by step. Think of it like this: instead of telling a computer ...

A.I. is everywhere at the moment, and it’s responsible for everything from the virtual assistants on our smartphones to the self-driving cars soon to be filling our roads to the cutting-edge image ...

Now that we’re big into machine learning in the cloud, perhaps we should start thinking about how to do it better ML (machine learning) is handy stuff. Now that public cloud computing has made it ...

Understanding the different types of machine learning, the algorithms that support them and how to apply them are critical to successful implementations. Predictive maintenance is the principal ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

Machine learning is undergoing a revolution because of new technologies and methods. Machine learning is a process of using a program to develop capabilities—like the ability to tell spam from ...

Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Many ML libraries and ...

Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...