Data from microplastic analyses can inform health recommendations and policy decisions. Machine learning is one tool researchers have started using.

Big data analytics can make sense of the data by uncovering trends and patterns. Machine learning can accelerate this process with the help of decision-making algorithms.

Phil Goldstein is a former web editor of the CDW family of tech magazines and a veteran technology journalist. He lives in Washington, D.C., with his wife and their animals: a dog named Brenna and two ...

Forbes contributors publish independent expert analyses and insights. Kathleen Walch covers AI, ML, and big data best practices. One of the most widely adopted of the seven patterns of AI is the ...

Algorithm updates like Google Panda are more understandable when you grasp the basics of machine learning. Here’s a simplified breakdown of how search engines are able to use machine learning for ...

The goal of machine learning is to develop algorithms that can learn patterns in data, and then use those patterns to make decisions or predictions about new data.

Machine learning is revolutionizing how computers perform tasks traditionally considered exclusive to human intelligence. Our everyday lives are deeply embedded with machine learning, from AI chatbot ...

Data quality is more important than ever, and many dataops teams struggle to keep up. Here are five ways to automate data operations with AI and ML.

To quickly sort through such a huge data set, they've turned to machine learning, a way of using computers to identify patterns and make predictions based on the information.

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...