These articles were controversial in the sense that they highlighted the differences between data science and other disciplines, at a time when many believed that data science was just old stuff being re-branded, or being practiced by people knowing nothing about statistics. Ironically, some of the old stuff actually re-branded itself as data science, not the other way around.…
Added by Vincent Granville on March 24, 2016 at 6:30pm —
Springboard just released a free, 70-page comprehensive guide to data science careers, filled with insights from industry mentors on how to break into your first data science job. Continue
It covers everything from essential data science skills as well as how to build an extensive…
Added by Roger Huang on March 24, 2016 at 1:14pm —
The Power of Third-Party Marketing Data
The first thing to sort out when considering a data strategy is what types of data you have, what types you need, and how you can use both. The two main segments of data are first-party and third-party.
First-party is the foundation of your marketing strategy. This is the internal…
Added by Larisa Bedgood on March 24, 2016 at 10:30am —
During the last few years, the hottest word on everyone’s lip has been “productivity.” In the rapidly evolving Internet world, getting something done fast always gets an upvote. Despite needing to implement real business logic quickly and accurately, as an experienced PHP developer I still spent hundreds of hours on other tasks, such as setting up database or caches, deploying projects, monitoring online statistics, and so on. Many developers have struggled with these so called miscellaneous… Continue
Added by Irina Papuc on March 24, 2016 at 9:00am —
A simple way to find great articles and resources on popular subjects such as data science, machine learning, deep learning, Python, R , data sets, dataviz, IoT, AI - or even Excel - is to use our data science search engine. This page, populated with pre-selected queries, is an excellent starting point. The search box can be found on DSC and all our channels, on all pages,… Continue
Added by Vincent Granville on March 24, 2016 at 9:00am —
"Hey, Andy, check out this data I have. What's the best chart to show it?"
I get asked this question a lot. My answer is always the same: It depends. This is partly because it depends on the audience, the purpose, and the type of data you have. What is most important is that your choice of chart is determined by the story within the data just as much as it is by anything else. Just because you have geographical data, it doesn't mean you should make a map.
Added by Andy Cotgreave on March 24, 2016 at 9:00am —
As an experienced analytics practitioner, we would be grateful for your participation in an MIT Sloan Management Review short survey enabling you to share your perspective as to how the Internet of Things (IoT) phenomenon is… Continue
Added by Robert Holland on March 23, 2016 at 12:00pm —
Starred articles are new additions or updated content, posted between Thursday and Sunday. The weekly digest has six sections: (1) Featured Resources and Technical Contributions, (2) Featured Articles and Case Studies, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content.
The full version is always published Monday.… Continue
Added by Vincent Granville on March 23, 2016 at 10:00am —
Summary: Which is the most critical element in data exploration, statistics or data visualization? The answer is a little like the lyric ‘love and marriage, you can’t have one without the other’. It can be tempting to skip the data visualization but it’s frequently the key to making sure we aren’t heading down the completely wrong path.
Added by William Vorhies on March 23, 2016 at 8:35am —
You are invited to submit papers for consideration in the special session on "Real World Data Mining Applications,", that will be held in DMIN'16, Las Vegas Nevada, July 25 -28, 2016.
You are also invited… Continue
Added by Mahmoud Abounasr on March 23, 2016 at 7:09am —
This is a guest repost by… Continue
Added by Shawnee Swarengin on March 23, 2016 at 5:30am —
Data scientists are big data wranglers. They take an enormous mass of messy data points (unstructured and structured) and use their formidable skills in math, statistics and programming to clean, massage and organize them. Then they apply all their analytic powers – industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover hidden solutions to business challenges.
On any given day, a data scientist may be required to:
Added by DR. Elvin Prasad on March 23, 2016 at 5:00am —
- Brush up on your math and statistics skills. A good data scientist must be able to understand what the data is telling you, and to do that, you must have solid basic linear algebra, an understanding of algorithms and statistics skills. More advanced mathematics may be required for certain positions, but this is a good place to start.
- Understand the concept of machine learning. Machine learning is emerging…
Added by DR. Elvin Prasad on March 23, 2016 at 5:00am —
If you are not an expert on Analytics then you must be curious about how one can use analytics for better optimization, forecasting and reporting. Or how HR can benefit by investing for stronger analytics?
But before understanding further, it is very important to know what HR analytics is!
HR analytics, also called talent analytics, is the application of considerable data mining and business analytics techniques to human resources data. The goal of human resources… Continue
Added by Soumyasanto Sen on March 23, 2016 at 4:30am —
Machine intelligence recruited to defend our planet.
Applied Research Accelerator: Mavericks Lab
Mavericks Lab is looking for Planetary Scientists and Data Scientists with a passion for machine learning to develop… Continue
Added by Jordan McRae on March 23, 2016 at 3:30am —
Transparency Market Research offers to its readers a thorough research report on the global master data management market. The research report, titled “Master Data Management Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2015 - 2023,” has been compiled by industry experts by using market measurement tools such as Porter’s five forces analysis and SWOT analysis. The former points out the threat of new… Continue
Added by Alina John on March 22, 2016 at 10:30pm —
Guest blog post by Harry Powell, Head of Advanced Data Analytics at Barclays.
I was at a meetup in Oxford recently and one of the speakers, the CEO of a tech start-up, brought up the subject of Data Scientists’ pay. Apparently they are paid too much. I am not sure whether the data supports this assertion, but it seems to be a common complaint amongst highly-paid CEOs. What… Continue
Added by Vincent Granville on March 22, 2016 at 5:30pm —
We all know the Internet loves cats.
Cats that eat cheezburgers, cats that dance, cats that play piano… And cats that can tell strangers where you live.
OK, the cat’s don’t actually talk. But by using the meta-data embedded in all those 15 million cat photos and videos a project called iknowwhereyourcatlives.com has plotted the physical locations of more than a million cats.
And it’s a much scarier and more sobering… Continue
Added by Bernard Marr on March 22, 2016 at 4:30pm —
In a recent Economist Intelligence Unit survey of 476 executives from around the globe, more than a third of respondents said that their companies suffered significant data losses over the course of last 12…
Added by Nate Vickery on March 22, 2016 at 5:00am —
Summary: This is my favorite IoT story. We are so used to IoT platforms being physical objects that we forget about the potential for biologics. In terms of direct economic reward little will compare to this story about the IoT and cows.
This is my favorite IoT story which I first heard from Joseph Sirosh, CVP of Machine Learning for Microsoft at the spring Strata convention in San Jose. We are so used to IoT platforms being physical objects like cars… Continue
Added by William Vorhies on March 21, 2016 at 7:43am —