In the first direction, I shall discuss how data management techniques can assist in generating user-friendly, configurable, queryable, and robust explanations for graph neural networks. In the second ...

Data science vs machine learning If you are an aspiring data scientist, you may have come across the terms artificial intelligence (AI), machine learning, deep learning and neural networks.

Learn the concepts of data science and machine learning, their special relationship and a few practical examples.

Data science and machine learning technologies continue to rapidly evolve, providing innovative ways for businesses to leverage their data assets and automate data-focused processes. Here are 10 ...

Deeply connected graph data and machine learning provide the key to unlocking valuable insights for optimal decision-making in these areas. However, the adoption of graph-powered ML has historically ...

KNIME, a data science company focused on making analytics accessible to all, in collaboration with Enterprise Strategy Group (ESG) released a survey on the state of data science and machine learning.

The Preamble In today's data-driven landscape, establishing a world-class data science practice is essential for companies striving to remain competitive and innovative.

Discover what data science is, its benefits, techniques, and real-world use cases in this comprehensive guide. Data science merges statistics, science, computing, machine learning, and other ...

To navigate today's rapidly changing business landscape, enterprises need to maximize the value of their data to drive efficiency, agility, and innovation. From accelerating analytics, artificial ...