Added by Vincent Granville on January 8, 2014 at 10:27am — No Comments
Interesting article. I have the same point of view, had the same problem and did the same thing:
Provost noticed during his data classes that there weren’t any books he could recommend to his MBA students that taught the fundamental principles. They were either too granular and focused on the math, or else too…Continue
Added by Vincent Granville on January 8, 2014 at 10:17am — No Comments
Here is the USA map visual by state showing what percentage of people received flouride in their water.
Here is the data source …Continue
Added by Nilesh Jethwa on January 7, 2014 at 11:00am — No Comments
Social media and interplanetary mission -- what do they have in common? Well, they have in common the Mars Orbiter Mission, also known as ‘Mangalyaan’. It was launched on 5th November by the Indian Space Research Organization (ISRO). It generated a lot of interest across the globe among millions of people on Social Media networks. In this blog, we analyze how Twitterati reacted to this news.
Asia was by far the most interested in the subject, covering 74% of all…
Originally posted on PR Web. Analytics and big data have influenced every aspect of business in both, traditional and non-traditional sectors across the world this year. While everyone waits to see if data analytics will continue to dominate business news, Jigsaw Academy, a world reputed analytics training academy announces their predictions for the industry…Continue
Added by Gaurav Vohra on January 6, 2014 at 8:33pm — No Comments
Predictions are in our DNA. Millions of us live with them daily, from checking the weather to reading daily horoscopes. When it comes to Big Data, the industry has shown no shortage of predictions for 2014. In fact, you might have read about insights on women in data science, ambitions for Machine Learning or a vision for the consumerization of Advanced…Continue
Added by Venky Rao on January 4, 2014 at 11:43am — No Comments
What is MDM and what does it involve?
MDM aims at referencing, managing and synchronising all the data across a company (e.g. products and customers data) to ensure the liability and preciseness. By using a good data management, the company will be able to simplify its processes, to avoid overlap and to ensure the quality and usability of the data. MDM has impacts on different levels for a company. On the business side, it affects speed,…
Added by Michel Bruley on January 2, 2014 at 12:48am — No Comments
I often find myself following missing-persons cases. I am interested in the reasoning behind the use of resources. There can be major deployments of capital during investigations. I tend to wonder which scenarios trigger more spending than others. I also recognize the visceral side of missing-persons cases. There are publicly accessible databases of missing persons in Canada, the United States, and I am certain many other countries. I imagine that it can be difficult to regard such…Continue
Added by Don Philip Faithful on January 1, 2014 at 7:12am — No Comments
Here's the content. Click here to check the full table of content. The final chapter was produced on time, and the expected publication date is still by March 2014. Publisher is Wiley.…
Added by Vincent Granville on December 30, 2013 at 4:00pm — No Comments
A few data sets are accessible from our data science apprenticeship web page.
This is another provocative KDNuggets blog post: the data scientist is reduced to three circles, missing the biggest, most important one that encompasses all three of them..
My answer: This Venn diagram…Continue
Search engines (Google, Microsoft), social networks (Twitter, Facebook, LinkedIn), financial institutions, Amazon, Apple, eBay, the health care industry, engineering companies (Boeing, Intel, Oil industry), retail analytics, mobile analytics, marketing agencies, data science vendors (for instance, Pivotal, Teradata, Tableau, SAS, Alpine Labs), environment, utilities government and defense routinely hire…Continue
Added by Vincent Granville on December 29, 2013 at 11:00am — No Comments
Facebook uses an algorithm to estimate the proportion of text in an image embedded into a Facebook ad.
The algorithm works well and it is well designed (it's not an issue of bad data science per se), but it results in 50% of my ads being rejected, see sample ad and rejection notice below. This is an example where better…Continue
Added by Vincent Granville on December 25, 2013 at 5:30pm — No Comments
Want to make graphs with LaTeX? You can use Plotly and style from the APIs, your IPython NB, and the GUI at plot.ly. Any and all feedback on the beta is welcome, and your expert advice is much appreciated.
Check out these Plotly graphs using LaTeX (click through for an interactive version).…Continue
Added by Matthew Sundquist on December 25, 2013 at 11:06am — No Comments
Big Data are like your children. You should always love them whether they're naughty or nice. Both dirty data and clean data can convey important actionable information, if properly handled and modeled. Consequently, always try to follow these…Continue
Added by Kirk Borne on December 23, 2013 at 10:30am — No Comments
Added by Matthew Sundquist on December 21, 2013 at 11:51am — No Comments
At 12 years old, Capri might be the youngest data scientist hired by a tech company. So what is she working on?
First, she helps promote data science and computer science among teens. She is the future generation of tech-savvy…Continue
Added by Vincent Granville on December 20, 2013 at 3:30pm — No Comments