Machine learning defined Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data.

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

When machine learning algorithms are fed a steady stream of real-time data, they can quickly detect bottlenecks, anomalies and other operational inefficiencies.

In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Students savvy in machine learning bring value because they can work with data scientists to make models relevant to the business, they can understand what the models are telling you to do and why, ...

Because of its machine learning algorithms, it would eventually pick up the patterns. This works much better for discrete data rather than more vague data that might be open to interpretation.

Machine learning works by using algorithms to parse data, learn from it, and then make determinations or predictions. Here’s a simplified explanation of the steps involved: ...

The study was recently published in Nature Machine Intelligence. This form of machine learning works with unlabelled data. No classified sample data are required in advance.