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 ...

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.

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.

SEE: How to Measure Data Quality (TechRepublic) Popular predictive analytics tools Tools can range from no-code platforms and data lakes to machine learning algorithm libraries.

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.

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 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 ...

The world is awash in data, and police departments are no exception. Now, they are beginning to make better use of that data. Police departments are starting to use machine learning and layering on ...

Search engines use machine learning for pattern detection. While it’s impossible to explain in one short article how machine learning influences our lives, understanding the basics of machine learning ...