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February 2014 Blog Posts (21)

Read this tutorial before you use Proc Corr

All of us at some point in the process of examining…

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Added by aatash shah on February 27, 2014 at 5:36am — No Comments

The reason Facebook paid US$ 19 bn for Whatsapp…decoded!!

On 19th…

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Added by aatash shah on February 27, 2014 at 5:34am — No Comments

Weekly Digest, March 3

Announcement

Predictive Analytics World, May 12-15, 2014 in Toronto is the business event for predictive analytics professionals, managers and commercial practitioners, covering today's commercial deployment of predictive…

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Added by Vincent Granville on February 26, 2014 at 6:30pm — No Comments

Talent Analytics: How to Find Top Talents and How Job Seekers Find the Right Job

How do you know that the candidate that you're going hire will become a high performer? Should you choose the candidate with 3.5 GPA and reject the candidate with 2.5 GPA? However, how do you know for sure that higher GPA will have better performance compared to those with lower GPA? And why company like Google and AT&T start choose candidate with less academic records or from non prestigious schools?

On the other hand, if you are a job seeker, with your current strength…

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Added by Eka Aulia on February 22, 2014 at 7:02pm — No Comments

Breaking News: Gartner research positions RapidMiner in Leaders Quadrant for Advanced Analytics Platforms

Breaking News: Gartner research positions RapidMiner in Leaders Quadrant for Advanced Analytics Platforms http://www.rapidminer.com/gartner2014

Added by Ralf Klinkenberg on February 21, 2014 at 10:45am — No Comments

The latest buzz in Indian Analytics – first fortnight in February

What is making news in the booming Indian Analytics industry?  

#    While February began with a buzz about Adobe and WPP among companies seeking to acquire  Bangalore based social media analytics start-up Simplify360 , it brought home the fact that converting millions of Tweets and social media posts into real…

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Added by Ivy Pro School on February 20, 2014 at 11:06pm — No Comments

How much is big data compressible? An interesting theorem.

I am doing some research to compress data available as tables (rows and columns, or cubes) more efficiently. This is the reverse data science approach: instead of receiving compressed data and applying statistical techniques to extract insights, here, we are looking at uncompressed data, extract all possible insights, and eliminate everything but the insights, to compress the data.…

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Added by Vincent Granville on February 20, 2014 at 1:30pm — 16 Comments

David Hand's interview: about miracles and rare events | Forbes

David Hand, a leading statistician, is Emeritus Professor of Mathematics and senior research investigator at Imperial College London. He’s the former president of the Royal Statistical Society and chief scientific advisor to hedge fund Winton Capital.…

d.j.hand

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Added by Vincent Granville on February 20, 2014 at 11:30am — No Comments

How Analytics can Define the Future of Education Industry



Global Education market - 2012 to 2017



Education continues to play an important role in any country’s overall growth. The education market has become more challenging due to the rapid growth and evolution in the modes of imparting education; schools, colleges, private tuition, online education courses, distance education, test preparations,…

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Added by NISHANT JAIN on February 19, 2014 at 11:38pm — No Comments

Answers to "10 questions about big data and data science" from Japan

10 questions about big data and data science

http://www.datasciencecentral.com/profiles/blogs/participate-in-our-big-data-survey-interview-questions

raised by Dr. Vincent Granville are very interesting I feel. 

I have to say I'm never any leader of big data or data science in Japan -- but I'm afraid nobody will answer. So as a personal opinion, I…

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Added by Takashi J. OZAKI on February 17, 2014 at 7:10am — No Comments

Leadership Analytics - Measuring Big Data Project Success Scientifically

The application of analytics and data science methods to people is becoming an increasingly common use case for Big Data in the workplace.  For example:

  • HR Analytics for human resource management: http://intel.ly/KGYFL7 
  • Talent Analytics for employee recruitment, promotion, and retention: …
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Added by Kirk Borne on February 15, 2014 at 11:09am — No Comments

How Analytics can define the future of Education Industry

Blog : How to leverage Analytics in Education Industry


http://blogs.bridgei2i.com/2014/02/10/how-analytics-can-define-the-future-of-education-industry/

Added by NISHANT JAIN on February 12, 2014 at 11:45pm — No Comments

Daily (and weekly) summaries of Big Data, Analytics, Statistics, and Data Science news

For daily (and weekly) summaries of Big Data, Analytics, Statistics, and Data Science in the news, check out some of these excellent paper.li aggregations (which are just a small sample of many choices):

@analyticbridge: …

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Added by Kirk Borne on February 11, 2014 at 6:48pm — No Comments

Intelligence to support active businesses

All studies show that, with globalization, large companies are faced with an increasing number of decisions and that these decisions are more complex and involve greater quantities of data. In today’s world, clearly one must have access to strategic and operational intelligence throughout the entire company and be able to take actions that are appropriate for the dynamics of the business…

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Added by Michel Bruley on February 11, 2014 at 1:32am — No Comments

How analytics will drive the future

Guest blog submitted by Marty Ellingsworth ([email protected]), President of Verisk Innovative Analytics, a division of Verisk Analytics (www.verisk.com). 

Whether you’re steering an enterprise, championing an analytics program, driving a venture capital-funded data-modeling product…

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Added by Vincent Granville on February 8, 2014 at 10:30am — 1 Comment

(R + Python)

Both R & Python should be measured based on their effectiveness in advanced analytics & data science. Initially, as a new comer in data science field we spend good amount of time to understand the pros and cons of these two. I too carried out this study solely for “self” to decide which tool should i pick to get in depth of data science. Eventually, i have started realizing that both (R & Python) has its space of mastery along with their broad support to data science. Here some…

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Added by Manish Bhoge on February 7, 2014 at 11:22pm — No Comments

Interview with David Cox, the most famous statistician still alive

I would like to think of myself as a scientist, who happens largely to specialise in the use of statistics - David Cox

This year, Sir David is to turn 90. Here Statistics Views talks to Sir David about his prestigious career in statistics, working with the late Professor…

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Added by Vincent Granville on February 6, 2014 at 11:51am — No Comments

Simple analytics work fast, but cannot avoid third-party effects: why don't you try multivariate statistics?

I've seen a dichotomy between "analytics" vs. "data science" (or "statistics) in several teams of web marketing, because people may feel analytics is simple, fast and work well while statistics is hard to learn, complicated and time-consuming.

In the latest post, I argued about the dichotomy from a viewpoint of analytic accuracy and pointed out a pitfall of simple and fast analytics.…

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Added by Takashi J. OZAKI on February 6, 2014 at 4:00am — No Comments

Beyond the Arc leading workshop at the 2014 Sentiment Analysis Symposium

Workshop: “Customer Insight Analytics”

Where: Sentiment Analysis Symposium,

New York, NY

Date: March 5, 2014  

Time: 1:30 – 5:00 p.m. …

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Added by Steven Ramirez on February 3, 2014 at 2:30pm — No Comments

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