Featured Blog Posts – October 2015 Archive (108)

Twitter as a platform for OPEN real time analytics

Note: We address real time analytics in the Data Science for IoT practitioner’s course

I am a fan of Twitter - but Twitter is in the news for the wrong reasons and it…


Added by ajit jaokar on October 21, 2015 at 3:44am — No Comments

GIP IG Barometer: a text-mining approach to Internet Governance Monitoring

The Internet Governance (IG) Barometer methodology presents a quantitative summary of the main developments in the Internet Governance arena based on computational text and data-mining approaches. The IG Barometer is based on the statistical modeling of large collections of textual documents: thus, it essentially presents an advanced discourse processing system. These collections - called text corpora - are obtained by querying various online media sources with…


Added by Goran S. Milovanović on October 20, 2015 at 11:00pm — No Comments

Collaborative Filtering Tutorials Across Languages


Added by Teglor on October 20, 2015 at 8:00am — No Comments

Outsourcing Data Analytics

Guest blog by Alleli Aspili at Infinit Datum


Big data became more than a buzzword when industries discovered its huge potential. And with this finding, came a new science called data analytics.

The demand to understand all the…


Added by William Vorhies on October 20, 2015 at 7:30am — No Comments

Podcasts for Data Scientists

Guest blog by…


Added by William Vorhies on October 20, 2015 at 7:00am — No Comments

Measuring Cloud Oktas from Outer Space

This article describes the approach undertaken by data scientists at Axibase to calculate the Cloud Cover using satellite imagery from the Japanese Himawari 8 satellite.

Today, cloud cover is measured using automated weather stations, specifically the ceilometer and the sky imager instruments. The ceilometer is an upward pointed laser that calculates the time required for the laser to reflect from the clouds, determining the height of the cloud base.…


Added by Axibase Corp on October 20, 2015 at 6:21am — No Comments

30 Quotes from a Data Science Pioneer

These are quotes by a well known data scientist, posted on his Facebook account and elsewhere, over the last three years. It includes both quotes related to data science as well as on how to become successful and happy.

Better: write "No SQL…


Added by L.V. on October 19, 2015 at 4:30pm — No Comments

Data-as-a-Service Dictionary: 5 Terms You Need to Know


Data-as-a-Service Dictionary: 5 Terms You Need to Know

A few months ago, we posted this…


Added by Larisa Bedgood on October 19, 2015 at 9:22am — No Comments

What PhDs do wrong (and right!) when applying for Data Science jobs


If you’re fortunate enough to have a quantitative PhD, you may have thought about applying for an opening in data science.  After all, it’s an exciting and well paid field and a lot of…


Added by William Vorhies on October 19, 2015 at 7:29am — 3 Comments

Collection Of SVM Libraries By Language


Added by Demnag on October 19, 2015 at 2:00am — No Comments

Zipf's distribution: great illustration

We have discussed Zipf's law last year, as well as in one of our recent weekly challenges: this statistical distribution is a perfect model to explain so many physical or man-made phenomena. In this article, we publish a formula to measure the…


Added by Vincent Granville on October 18, 2015 at 7:10pm — 1 Comment

Big Data: 20 Mind-Boggling Facts Everyone Must Read

Big data is not a fad. We are just at the beginning of a revolution that will touch every business and every life on this planet.

But loads of people are still treating the concept of big data as something they can choose to ignore — when actually, they’re about to be run over by the steamroller that is big data.

Don’t believe me? Here are 20 stats…


Added by Bernard Marr on October 17, 2015 at 8:30am — 1 Comment

Forget Data Scientists - Make Everyone Data Savvy

You don’t have to be a data scientist to be data savvy. And that’s a good thing.

Many companies are putting massive focus on recruiting the rare beasts that are data scientists. But in doing so, they often forget the need for creating a much more data savvy culture overall.

Data is already becoming ubiquitous in business as well as in daily life. It…


Added by Bernard Marr on October 17, 2015 at 8:30am — No Comments

Social Determinants of Disease

I routinely ask people who have degrees the following question: "So what did you do your thesis on?" Since I routinely encounter problems outside my domain, I like to be aware of the resources around me. I have been reminded that a student doesn't necessarily have to complete a major research paper to earn a degree. A student can just "do the program." As a person who has always chosen to do the research paper, I can say that this normally takes a fair amount of collaboration. There is a…


Added by Don Philip Faithful on October 17, 2015 at 4:57am — No Comments

Hadoop Summit notes– Part 1: Vision

Finally I got some time to share what I learned during the Hadoop summit this year. 3 days, more than 170 talks, a lot to share and digest, overwhelming with all those new tech and ideas…. I hope I can briefly and clearly describe the vision I gathered during the Hadoop summit with the you…

Added by Alice Xiong on October 17, 2015 at 4:30am — No Comments

3 Questions You need to Answer Before Going for Big Data

Each organizations these days is after collecting data about its customers. But very few use this data to optimum use.

Most of the organizations are clueless about the huge chunk of data that is available with them. Many companies expect the data to answer their questions. But they forget that data doesn't answer on its own. It is the analytics which help the companies give meaning to the data and provide solutions to the queries. So it is important to know the questions one has to…


Added by Aureus Analytics on October 16, 2015 at 10:30pm — No Comments

Why Data Scientists Need to be Good Data Storytellers

This article is no longer available. We apologize for the inconvenience. To read more about data science and story telling, click here

Added by William Vorhies on October 16, 2015 at 9:00am — 1 Comment

How Eleven Tech Companies Built Their Big Data Stacks

There has been a growing trend among software engineers to write about their experiences building data infrastructures. Software engineers at Asana wrote about their experience last November; Spotify…


Added by Yevgeniy Slutskiy Meyer on October 16, 2015 at 8:44am — No Comments

Gartner Magic Quadrant for Operational DBMS

Gartner released their Magic Quadrant for operational database management systems. As expected the leaders in this market space in terms of completeness and execution are the well-established solutions such as Oracle, Microsoft and Amazon Web Services.

Although the robust and well-established solutions are still the preferred choice in the market, Gartner indicates that the open-source solutions are making way into the market as well. It is predicted that by 2018 more than 70%…


Added by Zygimantas Jacikevicius on October 16, 2015 at 5:00am — No Comments

Ward’s Method for clustering in SAS

Ward’s Method:

It looks at cluster analysis as an analysis of variance problem. This method involves an agglomerative clustering algorithm. It starts out with n clusters of size 1 and continues until all the observations are included into one cluster. This method is most appropriate for quantitative variables, and not binary variables.

1. …


Added by Alice Xiong on October 16, 2015 at 3:30am — No Comments

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