The Hack of the Century
- Fake news propogated by social media just before the US General Election
- Hacking of Democratic Party by hackers of East European Russian origin /affiliation coordinating publication of leaked emails
- Leaked emails by hackers causing FBI chief to make fateful statement days before election
- Recanting of statement by FBI chief further undermining Clintonian credibility
I really think- given the margin of victory- that general elections 2016 in USA was the hack of the century. Cyber players influenced enough to tip the scales slightly.
So folks, there would be no Khaleesi after all, yall. Thanks for watching. We will be back, say in 4 years

Tools and techniques for data science
A talk I gave at ITS Engineering College today
How Big Data ,Cloud Computing ,Data Science can help business
Here is a brief talk (two talks actually) I gave at Allianz Trivandrum Kerala India on 9 November 2016. Forgive the typos
Turn Turn Turn
PESTLE Analysis of Barack H Obama’s Presidency
On Nov , 2008 I wrote the article on using PESTLE for analyzing 43 POTUS.
https://decisionstats.com/2008/11/02/pestle-analysis-of-george-w-bushs-presidency-2/
The article tries to use the PESTLE ( details below ) analysis framework for analyzing the 43 President of United States. It may be a bit biased , as all articles written by men are. It will try its best to be faithful to the facts , and not to the opinions surrounding this President.
The PESTLE framework stands for –
- Political
- Economic
- Social
- Technological
- Legal
- Environmental.
It will rate the Presidency as a Presidency, means it will evaluate his tenure as leader of the United States, not of the free world or anything else he was not elected or declared by the Supreme Court to be ( pun unintended). Scores are from 1 to 10, but you are free to comment with your own rating scores.
In summary ,
Rexer Analytics Data Mining Survey Results
Latest Results from Rexer Analytics
HIGHLIGHTS from the 2015 Data Science Survey:• SURVEY & PARTICIPANTS: 59-item online survey conducted in 2015. Participants: 1,220 analytic professionals from 72 countries. This is the 7th survey in this ongoing research program.• CORE ALGORITHM TRIAD: Regression, Decision Trees, and Cluster analysis remain the most commonly used algorithms in the field.• THE ASCENDANCE OF R: 76% of respondents report using R. This is up dramatically from just 23% in 2007. More than a third of respondents (36%) identify R as their primary tool.• JOB SATISFACTION: Job satisfaction in the field remains high, but has slipped since the 2013 survey. A number of factors predict Data Scientist job satisfaction levels.• DEPLOYMENT: Deployment continues to be a challenge for organizations, with less than two thirds of respondents indicating that their models are deployed most or all of the time. Getting organizational buy-in is the largest barrier to deployment, with real-time scoring and other technology issues also causing significant deployment problems.• TERMINOLOGY: The term “Data Scientist” has surged in popularity with over 30% of us describing ourselves as data scientists now compared to only 17% in 2013.Please contact us if you have any questions about the attached report or this research program. Summary reports for all 7 surveys (2007-2015) are free and available by contacting DataMinerSurvey@RexerAnalytics.com. Additional information about the surveys is available at www.RexerAnalytics.com, including verbatim best practices and insights shared by respondents in previous surveys — see the Data Miner Survey links in the top right corner of our home page.Information about Rexer Analytics and our consulting services is also available at www.RexerAnalytics.com.