ENTRIES TAGGED "data scientist"
Steering the ship that is data science
Ideas on avoiding the data science equivalent of "repair-ware."
Need speed for big data? Think in-memory data management
We're launching an investigation into in-memory data technologies.
Strata Week: Machine learning vs domain expertise
Debating the data skills of machines and experts, a key data move for Microsoft, and Google Analytics gets social.
This week's data news includes another look at the Strata Conference's debate about machine learning versus subject matter expertise, Raghu Ramakrishnan moves from Yahoo to Microsoft, and more social data comes to Google Analytics.
Strata Newsletter: January 19, 2012
Data scientists need agility and an entrepreneurial outlook. Plus: data news of note.
Highlights from the 1/19/12 edition of the Strata newsletter include: Strata chair Edd Dumbill explains what big data is, what it does and why it matters.
The number one trait you want in a data scientist
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.
Building data science teams
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.
Citizen science, civic media and radiation data hint at what's to come
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.
Why the term "data science" is flawed but useful
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.
3 skills a data scientist needs
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.
The data analysis path is built on curiosity, followed by action
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.
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