Featured Blog Posts – April 2014 Archive (29)

Data science job ads that do not attract candidates, versus those that do

There's no shortage of great talent for companies such as Apple, Google, Intel, Facebook, Wikipedia and some exciting startups. But what if you are not one of these?

I received the following job ad in my mailbox (see below in italics), from a third-party recruiter, and it's probably for a data science position at Nike near Portland, Oregon (my guess). Basically, it's a 6-month gig to build an A/B platform.…


Added by Vincent Granville on April 30, 2014 at 4:00pm — No Comments

How invisible data could provide the tobacco industry a second life

This indeed applies to all industries and all products. In short, how do you detect new uses of a declining product (cigars in this case) that could turn them into a good product and revive the industry in question? The tobacco industry has tried to sell outside US (especially Asia) to make up for declining sales in US. They came with e-cigarettes. But they never thought of a tobacco use in a context not associated with addiction.…


Added by Mirko Krivanek on April 29, 2014 at 9:30am — No Comments

Business Intelligence Value Chain

BI is a group of concepts, methods and procedures for making better business decisions using information from several sources and applying knowledge and presumptions to build up a precise understanding of business. It gathers, manages and analyse the raw data for making good understanding/understandable information for…


Added by Avesh Dhakal on April 28, 2014 at 9:00am — No Comments

Building a house and building a data-analytic model

If I want to build a house, wouldn't it be wise to learn carpentry? Does the analogy hold for data-analytic multivariate models? Or is it simply enough to let a machine do it, with no knowledge by the machine operator of how to interpret the results from those modeling efforts? Or is it true, as one person has recently asserted, that he could replicate ALL statistical procedures and techniques using MapReduce, without knowing anything about statistics and probability, or the vast collection…


Added by Bill Luker Jr on April 28, 2014 at 6:51am — 2 Comments

The Dangers of the "Talent Shortage" Myth

Every time a new technology disrupts the job market a "skills shortage" is debated between economists and politicians. The story isn't new - 10 years ago recruiters were asking for programmers with 10+ years experience in Java. The gap is widened by non-technical recruiters employing rigid traditional hiring practices. The truth is that there are all kinds of smart people with relevant skills that don't fit into HR's pigeonhole - we're generalists, not specialists. The onus…


Added by Peter Higdon on April 28, 2014 at 1:08am — No Comments

The Algorithmic Man - Epic Battle Against Headless Apparitions

There was a television interview of a man who had to deal with severe breathing problems through much of his adult life.  He underwent various procedures although he found little relief.  In fact, the adverse impact to his body was long-lasting.  So he was surprised to discover how he was extremely allergic to his breakfast cereal, something that he ate almost without fail.  When he stopped eating the cereal, his breathing problems disappeared.  I am sure that many people would regard the…


Added by Don Philip Faithful on April 27, 2014 at 8:26am — No Comments

Take Me Out to the Data

America’s pastime is ripe with opportunities to dust off your data visualization tools and practice your Big Data swing.

As spring begins and bees collect pollen for honey, baseball statisticians collect millions of interesting facts about this year’s baseball season. Ever since the 1870s when sportswriter Henry Chadwick began pulling together players’ data, people have been keeping score on everything from hits and runs to strikeouts and averages.

This year is…


Added by Michael Singer on April 25, 2014 at 9:00am — 1 Comment

The Deadly Data Science Sin of Confirmation Bias

Confirmation bias occurs when people actively search for and favor information or evidence that confirms their preconceptions or hypotheses while ignoring or slighting adverse or mitigating evidence. It is a type of cognitive bias (pattern of deviation in judgment that occurs in…


Added by Michael Walker on April 24, 2014 at 7:30pm — 5 Comments

Interesting new contests on Kaggle

This morning, I received the following in my mailbox, from Kaggle:…


Added by Mirko Krivanek on April 24, 2014 at 8:06am — No Comments

Data science displacing traditional science

Here's an interesting piece of email my wife received today - looks like it was sent to all students at university of Washington.

Subject: Update on the Closure of the Physics and Astronomy Reading Room

Hello Huskies,

As of June 13, 2014, the Physics and Astronomy Reading Room will be replaced with a new…


Added by Vincent Granville on April 23, 2014 at 6:30pm — 1 Comment

Data sets and other machine learning resources from UC Irvine

They maintain 284 data sets as a service to the machine learning community.…


Added by Mirko Krivanek on April 21, 2014 at 6:00pm — No Comments

Manage performance of enterprise applications

Managing performance of enterprise applications and achieving high levels of Performance with minimum resources is topic of discussion in today’s large enterprises. Resolving performance issues is essential for database administrators (DBAs) when it happens however it is best to react to the problems proactively. Proactive management requires very high level of attention and to help make sense of the overwhelming data provided by the database engine.

In database management being…


Added by Muhammad Saeed on April 21, 2014 at 3:43am — No Comments

Data Embodiment – an Ecosystemic Approach

Embodiment is comparable to the idea of an “ecosystemic” or “holistic” approach. In an ecosystem, each thing affects everything else. In light of the interrelationship, a person would not attempt to correct a problem by considering only a single piece of the puzzle. Instead, there is a need to bring together many aspects of the body. To understand embodiment, it is necessary to recognize how “the body” separates an organism from its environment; in a manner of speaking, the body represents…


Added by Don Philip Faithful on April 19, 2014 at 7:30am — No Comments

Business Intelligence and Data Warehousing

In the modern era, business environment is changing rapidly. They are seeking for valuable business information as being essential assets which will not only lead organisation towards the path of success but also help to sustain business in a competitive environment. Business Intelligence (BI) is a model which relates managerial values, and a tool which is used in an organisation to handle and filter information in order to make healthy business decisions. It refers to the appropriate…


Added by Avesh Dhakal on April 18, 2014 at 9:30pm — No Comments

The data science alphabet

Feel free to add your keywords. Here's a start:

The alphabet:

  • Algorithm (also: API, accountability)
  • Big data…

Added by Vincent Granville on April 17, 2014 at 6:30pm — 2 Comments

Employee Churn 201: Calculating Employee Value

Guest blog pst by Pasha Roberts, Chief Scientist, Talent Analytics @pasharoberts

Much has been written about customer churn - predicting who, when, and why customers will stop buying, and how (or…


Added by Vincent Granville on April 17, 2014 at 4:00pm — No Comments

How to identify the right data scientist for your company

Should you hire someone who knows all the most recent flavors of logistic regression? Or an Hadoop developer?

In my opinion, this is the wrong strategy. These employees are very expensive (at least $120k per year), and they might not bring the ROI that you expect. At least, if going in that direction, hire someone favoring simple, scalable, robust, automated solutions over anything else. To automate, you need someone great at developing…


Added by Vincent Granville on April 16, 2014 at 4:30pm — 1 Comment

Top 10 List – The V's of Big Data

Recently I wrote about the "Top 10 Big Data Challenges – A Serious Look at 10 Big Data V’s", which summarizes some of the big issues associated with the deployment of big data projects. The use of the letter V may seem forced and contrived, but it is used primarily as a mnemonic device to label and recall these critical challenges, in much the same way the…


Added by Kirk Borne on April 12, 2014 at 8:30am — 9 Comments

4000 copies of data science book pre-ordered

I've heard from Wiley that our data science book had already 4,133 pre-ordered copies, which is (according to Wiley) a great start. It was published last Monday.

I invite you to check the final table of content or check out the book on…


Added by Vincent Granville on April 12, 2014 at 8:00am — 6 Comments

Another 10 external articles and resources worth reading

Here we go. This a a follow up to our previous 9 must-read articles. The map below illustrates the data science (route optimization) problem described in the UPS Truck article.…


Added by Vincent Granville on April 10, 2014 at 12:30pm — No Comments

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