21 Ways to Say Hello

Learn how to say hello in 21 languages. You’ll be able to greet new friends wherever you travel.

Reference: 21 Ways to Say Hello


A Harvest of Company Details, All in One Basket

Trolling government records for juicy details about companies and their executives can be a ponderous task. I often find myself querying the websites of multiple federal agencies, each using its own particular terminology and data forms, just for a glimpse of one company’s business.

But a few new services aim to reduce that friction not just for reporters, but also for investors and companies that might use the information in making business decisions. One site, rankandfiled.com, is designed to make company filings with the Securities and Exchange Commission more intelligible. It also offers visitors an instant snapshot of industry relationships, in a multicolored “influence” graph that charts the various companies in which a business’s officers and directors own shares. … Another site, Enigma.io, has obtained, standardized and collated thousands of data sets — including information on companies’ lobbying activities and their contributions to state election campaigns — made public by federal and state agencies.  …


Why Google Flu is a failure: the hubris of big data

People with the flu (the influenza virus, that is) will probably go online to find out how to treat it, or to search for other information about the flu. So Google decided to track such behavior, hoping it might be able to predict flu outbreaks even faster than traditional health authorities such as the Centers for Disease Control (CDC).

Instead, as the authors of a new article in Science explain, we got “big data hubris.” David Lazer and colleagues explain that:

“Big data hubris” is the often implicit assumption that big data are a substitute for, rather than a supplement to, traditional data collection and analysis.

Ironically, just a few months after announcing Google Flu, the world was hit with the 2009 swine flu pandemic, caused by a novel strain of H1N1 influenza. Google Flu missed it.

The failures have continued. As Lazer et al. show in their Science study, Google Flu was wrong for 100 out of 108 weeks since August 2011.

One problem is that Google’s scientists have never revealed what search terms they actually use to track the flu. A paper they published in 2011 declares that Google Flu does a great job. The official Google blog last October makes it appear that they do an almost perfect job predicting the flu for previous years.

Haven’t these guys been paying attention? It’s easy to predict the past.

Reference: Why Google Flu is a failure: the hubris of big data

KB – Neural Data Mining with Python sources

The aim of this book is to present and describe in detail the algorithms to extract the knowledge hidden inside data using Python language, which allows us to read and easily understand the nature and the characteristics of the rules of the computing utilized, as opposed to what happens in commercial applications, which are available only in the form of running codes, which remain impossible to modify.

The algorithms of computing contained within the book are minutely described, documented and available in the Python source format, and serve to extract the hidden knowledge within the data whether they are textual or numerical kinds. There are also various examples of usage, underlining the characteristics, method of execution and providing comments on the obtained results.

Reference: KB – Neural Data Mining with Python sources

How to Moonwalk

 Check out the graphic to see the animation. Ever wanted to be like MJ and nail the moonwalk, but failed to no avail? Look no further.

Reference: How to Moonwalk

March Madness Bracketology

Information about NCAA March Madness tournament from the perspective of bracket-making. Details tips on creating a winning bracket as well as information regarding how teams are selected to compete via annual seeding orders. Inspiration for the main bracket diagram was taken from a diagram by Leonardo Aranda.

Reference: March Madness Bracketology

Massive Visualizations at CeBIT Depict The Scale of “Big Data”a”

At this year’s CeBIT computer trade fair in Hannover, Germany, the world’s most impressive and eccentric new technology has been on display. But between the pole-dancing droids and the robot moon monkeys, the massive data visualizations on display at the fair’s CODE_n exhibition in Hall 16 have turned heads with their artistry, execution and scale.

Reference: Massive Visualizations at CeBIT Depict The Scale of “Big Data”