Graph neural networks (GNN) are a type of machine learning algorithm that can extract important information from graphs and make useful predictions. With graphs becoming more pervasive and richer ...

ML (machine learning) is handy stuff. Now that public cloud computing has made it cheap, I’m seeing all types of cloud-based applications applying this technology effectively.

KEY TAKEAWAYS Machine learning is a type of artificial intelligence that analyzes and processes data to help humans make data-driven decisions. (Jump to Section) ...

Bringing knowledge graph and machine learning technology together can improve the accuracy of the outcomes and augment the potential of machine learning approaches. With knowledge graphs, AI language ...

Supervised learning is a type of machine learning where the data you put into the model is “labeled.” Labeled simply means that the outcome of the observation (a.k.a. the row of data) is known.

The more data the machine is exposed to, the better it becomes at performing the task, which is why machine learning is often used for complex problems such as image recognition, natural language ...

Machine learning can get a boost from quantum physics. On certain types of machine learning tasks, quantum computers have an exponential advantage over standard computation, scientists report in ...

“Before, we’d use a graph to store the data with the machine learning happening in Python. We’re connecting the dots.” Image: Neo4j ...