ENTRIES TAGGED "data scientist"
Ideas on avoiding the data science equivalent of "repair-ware."
We're launching an investigation into in-memory data technologies.
DJ Patil on the traits of data scientists and how data science will evolve within companies.
DJ Patil, data scientist in residence at Greylock Partners, discusses the key trait data scientists need and the obstacles data scientists face within organizations.
Data science teams need people with the skills and curiosity to ask the big questions.
A data science team needs people with the right skills and perspectives, and it also requires strong tools, processes, and interaction between the team and the rest of the company.
The evolution of Safecast is a glimpse into networked accountability.
After a tsunami caused a nuclear disaster in Japan, a radiation detection network starting aggregating and publishing data. The result, Safecast, shows how citizen science and open data are changing our understanding of the world.
Counterpoints to four common data science criticisms.
While formal boundaries and professional criteria for "data science" remain undefined, here's why we should keep using the term.
LinkedIn's Pete Skomoroch on the key capabilities of data scientists.
In this brief video interview, LinkedIn senior research scientist Pete Skomoroch reveals the three core skills of data scientists.
Why simplicity, empiricism, and DIY are keys to data analysis.
Precision and preparation define traditional data analysis, but author Philipp K. Janert believes there's more to it than just that. In this interview, he explains how simplicity, experimentation and action can shape data work.