Watching Super Bowl commercials is a celebrated American tradition. With more than a hundred million viewers tuned in, the pressure to stand out on Super Bowl Sunday is sky high. That's why many companies try to make their spots just-controversial-enough. But not going overboard is easier said than done. This tone deafness was on full display in 2011 when …Continue
This exercise was done to understand the software skills that are in high demand for Data Science. Analysis was done by extracting the job postings from popular online websites. The findings are interesting. R continues to be the most popular skill, found in 70% of the postings. Python follows as a close second. Surprisingly, in spite all the talk about "Big Data Science", SQL comes up third. This shows that traditional RDBMS still continue to be the base for machine learning work…Continue
Obviously, there are few topics that are as morbid as our own morbidity, and it is for this reason that we often avoid thinking about it. However, as it turns out, how we view the probability of the causes and the timing of our own demise is very important. Why? It is because these views are subconsciously affecting how we approach health related decisions that we are making every day.
Think of it this way. If you believed that you would likely die from an…Continue
Added by Renette Youssef on November 19, 2014 at 8:13am — No Comments
The current (November 2014) United States election reminds us that sophisticated data science techniques are employed on the public in attempt to influence opinion and persuade votes. The slick television advertising, debate prevarications, and policy position distortions and exaggerations have soured many citizens on the current state of modern democracy. Indeed, most feel we are not getting the straight scoop - the…Continue
Arguably no technology conference in history has grown faster. Somehow we’ve achieved that growth with no background in the conference industry and no resources to speak of, and all from a pretty peripheral location called Dublin. - Paddy Cosgrave
In a …Continue
Added by Philippe Van Impe on October 31, 2014 at 11:55pm — No Comments
Any author would like to know if his/her article will be successful or not. Here is an attempt to deal with this task.
Data and tools
A new paper entitled "Gaining Trust as well as Respect in Communicating Science Topics" published in the Proceedings of the…Continue
Added by Michael Walker on September 24, 2014 at 5:07pm — No Comments
*Note this was originally posted at Leada's Blog
When we first began working on Leada, we sought to better understand the data science industry by interviewing professionals in the field. As students simply wanting to learn more about data science, we ultimately created a free resource to inform both undergraduates and professionals about the data science industry. We accomplished this by…Continue
Added by Brian Liou on August 26, 2014 at 9:00am — No Comments
I have been reading and collecting data science resources for years (back in the days when BI / BA was all the rage). While there are lots of resources on the net, not all are great and some are even misleading.
Now, I have updated my collection and placed them into a neat Trello list, open to all.
Of course it features some of the great and interesting articles from data science central:…
In this post, we will look at the various 'Shrines' and 'Giants' on whose shoulders most modern Data Scientists stand. I am often daunted by the Job Descriptions people come up with for Data Scientists these days.
A recent JD I encountered contained :-
Added by derick.jose on June 17, 2014 at 2:00am — No Comments
Added by Michael Walker on June 12, 2014 at 7:00pm — No Comments
Having looked at the fundamentals in the first blog, the natural next step is to understand the various types of strategies to "attack" the data and make it reveal useful information. However, there is one step we must take just before that: Understand the "enemy" i.e. the problem at hand and the data available.
The Tree of the Data Shinobi:
The tree below is an attempt at categorizing the most commonly…Continue
Added by Amogh Borkar on June 8, 2014 at 2:30am — No Comments
With loads of content and hype about Data Science, Analytics and Big Data coming up every day, I felt compelled to share my journey and experiences in exploring this space. Here, I intend to begin a series of posts on the subject stripped it down to it's core (as I understand it) and than building upon it.
While there are a whole bunch of directions these subjects could be approached from, I present here the path that I found most convenient to tread. I would like to call it the path…Continue
Added by Amogh Borkar on May 31, 2014 at 3:46am — No Comments
Data scientists are the lion kings of data pros while salaries for business intelligence and data warehousing pros are stagnating.
Actual data scientist salaries are much higher considering many garden…Continue
"Life imitates art far more than art imitates life." - Oscar Wilde
In Woody Allen's 1973 iconoclastic movie "Sleeper" a man (health food store owner) wakes up two hundred years in the future. For breakfast…
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…Continue
Data and information silos are a significant problem for organizations getting full value from data. Data silos are separate databases or data files that are not part of an organization's…Continue