The NYPD is leading the way on using machine learning applications like pattern recognition to more easily identify similar types of crime.

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.

Leaders across various industries are turning to machine learning to gain valuable insights and make informed decisions.

The goal of the Patterns and Anomalies pattern of AI is to use machine learning and other cognitive approaches to learn patterns in the data and discover higher order connections between that data ...

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 ...

It's possible to use machine learning to discern the mood of a song from its melody or to predict stock market trends based on historical data patterns.

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.

That’s why our researchers have increasingly made use of a method called machine learning. Broadly speaking, machine learning uses computer programs to identify patterns across thousands or even ...

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.

By analyzing real-time sensor data and historical maintenance records, predictive models can identify patterns and predict when equipment is likely to fail.

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.