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

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

The main idea of the recognition pattern of AI is that we’re using machine learning and cognitive technology to help identify and categorize unstructured data into specific classifications.

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.

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.

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 ...

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.