ENTRIES TAGGED "data scientist"

Steering the ship that is data science

Ideas on avoiding the data science equivalent of "repair-ware."

Mike Loukides recently recapped a conversation we’d had about leading indicators for data science efforts in an organization. We also pondered where the role of data scientist is headed and realized we could treat software development as a prototype case. It’s easy (if not eerie) to draw parallels between the Internet boom of…
Read Full Post | Comment: 1 |

Need speed for big data? Think in-memory data management

We're launching an investigation into in-memory data technologies.

By Ben Lorica and Roger Magoulas In a forthcoming report we will highlight technologies and solutions that take advantage of the decline in prices of RAM, the popularity of distributed and cloud computing systems, and the need for faster queries on large, distributed data stores. Established technology companies have had interesting offerings, but what initially caught our attention…
Read Full Post | Comments: 14 |
Strata Week: Machine learning vs domain expertise

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.

Read Full Post | Comment |
Strata Newsletter: January 19, 2012

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.

Read Full Post | Comment |
The number one trait you want in a data scientist

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.

Read Full Post | Comment: 1 |
Building data science teams

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.

Read Full Post | Comments: 12 |
Citizen science, civic media and radiation data hint at what's to come

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.

Read Full Post | Comment: 1 |

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.

Read Full Post | Comments: 9 |
3 skills a data scientist needs

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.

Read Full Post | Comments Off |

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.

Read Full Post | Comment: 1 |