Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Here is a well-written data scientist job description example along with some tips on how to draft your own job description to attract top candidates.

SAN MATEO, Calif., April 8, 2020 /PRNewswire/ -- Neo4jⓇ, the leader in graph technology, announced the availability of Neo4j for Graph Data Scienc ...

applied math big data computer science graph theory mathematics neural networks topology All topics Graph theory isn’t enough. The mathematical language for talking about connections, which usually ...

For example, we can organize our data in a way ... 100 percent annually through 2022 to continuously accelerate data preparation and enable more complex and adaptive data science. Graph data ...

Yet most scientists struggle mightily with wordsmithing, some going so far as to hire consultants, because they understand the importance of a well-written manuscript. The same does not always apply ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.. Google, Facebook and LinkedIn are among those utilising ...

GenAI is undoubtedly changing how data scientists and analysts work, including tools, processes, and deliverables. Here’s what data scientists can do now to prepare.

Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...

Despite all the relevant capabilities data scientists bring to the table, they are highly skilled, expensive, and not easy to find. The rate at which organizations are looking to implement and ...