Whether you’re genuinely interested in getting insights and solving problems using data, or just attracted by what has been called “the most promising career” by LinkedIn and the “best job in America” ...
Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...
Debate and discussion around data management, analytics, BI and information governance. This is a guest blogpost by Jim Webber, Chief Scientist at graph database provider Neo4j. It discusses Knowledge ...
Graph technology has become a requirement for the modern enterprise. Companies in virtually every industry, from healthcare to energy to financial services, are applying the power of graph analytics ...
Learn about M.Sc in Data Science and Data Analytics. Understand the simple differences in skills, jobs, and tools to find out ...
Data science myths and realities - do data scientists really spend 80% of their time wrangling data?
Do data scientists really spend 80% of their time wrangling data? Yes and no. The implication is clear: if this stat is accurate, then the burden of provisioning data for their models impedes data ...
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