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.

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

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.

Supervised machine learning is where machines learn from examples. This process involves training machines using clearly labeled datasets, meaning each piece of data is paired with the correct answer.

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 ...

I am a machine learning researcher. With a team of scientists, I have developed a tool to make identification of microplastics using their unique chemical fingerprint more reliable. We hope that ...