I saw a chart on Twitter, about the precursors to data science. I was surprised to see that their graph is missing many links and entities such as computer science. Data science contributes more to statistics than the other way around. This view is biased…Continue
Since it was founded in 1975 by Bill Gates and Paul Allen, Microsoft has been a key player in just about every major advance in the use of computers, at home and in business.
Just as it anticipated the rise of the personal computer, the graphical operating system and the internet, it wasn’t taken by surprise by the dawn of the big data era. It might not always be the principle source of innovation, but it has always excelled at bringing innovation to the masses, and packaging it into…Continue
Added by Bernard Marr on February 27, 2015 at 10:30am — No Comments
I often receive phone calls from organizations, aspiring data scientists and reporters about whether data science would be a good career choice for women. My response is absolutely yes, for the following reasons:
Women are great contrarian…Continue
Guest blog post.
In our previous article, we looked at some of the top locations in the US which had data scientists and also the top companies who existed in our LinkedIn Networks in the data science area. In this article, we look at the top hirers of data…Continue
Having a secure network is vital in today’s digital landscape and with so many headlines about data breaches and identity theft, security is of the utmost importance. For some companies, this loss of information to the often unknown hacker is a huge embarrassment and can lead to enormous losses in sales and widespread consumer mistrust.
Added by Nick Rojas on February 26, 2015 at 2:33pm — No Comments
Added by Vincent Granville on February 26, 2015 at 11:20am — No Comments
Recently we did a project with Worldreader to visualize their global impact. Here is an animated globe showing readers using Worldreader mobile, based on WebGL Globe by the Google Data Arts Team. (Best viewed in Google Chrome.)…Continue
Added by Cameron Turner on February 26, 2015 at 10:30am — No Comments
I have been following the news on data science and wanted to share some of the titles here : The sexiest job of the 21th century, Ten Trends on Data Science, How to become a data scientist, What is data science, so on..
I wonder how and when data and science became sexy and everybody started to have a stake in data science. Is it because young energetic technology companies of Silicon Valley HAS named it that way? Do we need more data or do we have more data nowadays? Whether the data…Continue
The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday.
Added by Vincent Granville on February 24, 2015 at 1:00pm — No Comments
Added by Mirko Krivanek on February 24, 2015 at 11:30am — No Comments
We've made a new interactive visualization of data science patterns.
The original infographics allows you to zoom in to find the various patterns; see snapshot below:…Continue
Added by Linda Terlouw on February 24, 2015 at 11:00am — No Comments
Hive, Pig, Spark, Yarn, Zoo Keeper, Falcon, Flume, Nutch, Sqoop,…Continue
Added by William Vorhies on February 23, 2015 at 11:14am — No Comments
The R Package smbinning categorizes a numeric variable into bins (intervals) for its ulterior usage in scoring modeling. The theory behind it falls within a branch of Machine Learning called Supervised Discretization, a categorization technique that divides a continuous variable into a small number of intervals mapped to a discrete target…Continue
Added by Herman Jopia on February 22, 2015 at 12:00am — No Comments
The analytics community has long been discussing whether analytics is about art or science. Analytics is more an art than a science in its ability to form conditions to drive business toward an action that is based on the confidence that the action will improve business performance.…Continue
Added by Nissim Matatov on February 20, 2015 at 1:46pm — No Comments
Guest blog post.
Data Science Central is one of the largest communities of analysts and data scientists in the world. We set about analyzing our database to understand a little bit more about the data scientist community. This is part of our continuing effort to give more insight into the data science industry.
Here is the distribution of members for the Top 50…Continue
Big Data still causes a lot of confusion in people's heads: What really is it? What is new and what is old wine in new bottles? In order to bring a little more clarity to the concept I thought it might help to describe the 4 key layers of a big data system - i.e. the different stages the data itself has to pass through on its journey from raw statistic or snippet of unstructured data (for example, social media post) to actionable insight.
The whole point of a big data strategy is to…Continue
Added by Bernard Marr on February 20, 2015 at 1:00pm — No Comments
I randomly ran into this old thread of Vincent's in DSC regarding Moore's law and its applicability to how we might think about the growth of insights relative to the growth of our data. I took a humble crack at it. No idea if i'm…Continue
You sometimes hear from some old-fashioned statisticians that data scientists know nothing about statistics, and that they - the statisticians - know everything. Here we prove that actually it is the exact opposite: data science has its own core of statistical science research, in addition to data plumbing,…Continue
This week, movie fans around the country engage in the annual ritual of handicapping the Oscar odds, debating public predictions and seeking signs of how their favorites will fare. Can “Birdman” knock out “Boyhood?” Will the “Selma” snub continue?
Hollywood watchers sometimes try to base their calls on statistics, citing the higher Oscar chances for films already honored with British Academy Film or Screen Actors Guild awards. In…Continue
Added by Peter Bruce on February 19, 2015 at 2:30pm — No Comments
Normally I would send such people to see a specialist – no, not…Continue