Tag: use

Best of Google Plus-Week 2-Top 1/0

Stuff I like from week  2 of Google Plus meme- animated GIFS,jokes,nice photos  are just some of them-

Here is week 1 in case you missed it

https://decisionstats.com/best-of-google-plus-week-1-top10/

 

Continue reading “Best of Google Plus-Week 2-Top 1/0”

Making your website cool

Some notes and thoughts on Websites ( which may be back in fashion once the social media bubble bubble  burps, I mean bursts)

0) Write Great Content. Do not write in haste. Do not revise in haste. Publish and share url only at a time when you think it will lead to views.

1) Design-Benchmarking Beauty

Bad Artists borrow, Great Artists Steal- Continue reading “Making your website cool”

The Top Statisticians in the World

 

 

 

 

 

 

http://en.wikipedia.org/wiki/John_Tukey

 

John Tukey

From Wikipedia, the free encyclopedia
John Tukey

John Wilder Tukey
Born June 16, 1915
New Bedford, Massachusetts, USA
Died July 26, 2000 (aged 85)
New Brunswick, New Jersey
Residence United States
Nationality American
Fields Mathematician
Institutions Bell Labs
Princeton University
Alma mater Brown University
Princeton University
Doctoral advisor Solomon Lefschetz
Doctoral students Frederick Mosteller
Kai Lai Chung
Known for FFT algorithm
Box plot
Coining the term ‘bit’
Notable awards Samuel S. Wilks Award (1965)
National Medal of Science (USA) in Mathematical, Statistical, and Computational Sciences (1973)
Shewhart Medal (1976)
IEEE Medal of Honor (1982)
Deming Medal (1982)
James Madison Medal (1984)
Foreign Member of the Royal Society(1991)

John Wilder Tukey ForMemRS[1] (June 16, 1915 – July 26, 2000) was an American statistician.

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[edit]Biography

Tukey was born in New Bedford, Massachusetts in 1915, and obtained a B.A. in 1936 and M.Sc.in 1937, in chemistry, from Brown University, before moving to Princeton University where he received a Ph.D. in mathematics.[2]

During World War II, Tukey worked at the Fire Control Research Office and collaborated withSamuel Wilks and William Cochran. After the war, he returned to Princeton, dividing his time between the university and AT&T Bell Laboratories.

Among many contributions to civil society, Tukey served on a committee of the American Statistical Association that produced a report challenging the conclusions of the Kinsey Report,Statistical Problems of the Kinsey Report on Sexual Behavior in the Human Male.

He was awarded the IEEE Medal of Honor in 1982 “For his contributions to the spectral analysis of random processes and the fast Fourier transform (FFT) algorithm.”

Tukey retired in 1985. He died in New Brunswick, New Jersey on July 26, 2000.

[edit]Scientific contributions

His statistical interests were many and varied. He is particularly remembered for his development with James Cooley of the Cooley–Tukey FFT algorithm. In 1970, he contributed significantly to what is today known as the jackknife estimation—also termed Quenouille-Tukey jackknife. He introduced the box plot in his 1977 book,”Exploratory Data Analysis“.

Tukey’s range test, the Tukey lambda distribution, Tukey’s test of additivity and Tukey’s lemma all bear his name. He is also the creator of several little-known methods such as the trimean andmedian-median line, an easier alternative to linear regression.

In 1974, he developed, with Jerome H. Friedman, the concept of the projection pursuit.[3]

http://en.wikipedia.org/wiki/Ronald_Fisher

Sir Ronald Aylmer Fisher FRS (17 February 1890 – 29 July 1962) was an English statistician,evolutionary biologist, eugenicist and geneticist. Among other things, Fisher is well known for his contributions to statistics by creating Fisher’s exact test and Fisher’s equation. Anders Hald called him “a genius who almost single-handedly created the foundations for modern statistical science”[1] while Richard Dawkins named him “the greatest biologist since Darwin“.[2]

 

contacts.xls

http://en.wikipedia.org/wiki/William_Sealy_Gosset

William Sealy Gosset (June 13, 1876–October 16, 1937) is famous as a statistician, best known by his pen name Student and for his work on Student’s t-distribution.

Born in Canterbury, England to Agnes Sealy Vidal and Colonel Frederic Gosset, Gosset attendedWinchester College before reading chemistry and mathematics at New College, Oxford. On graduating in 1899, he joined the Dublin brewery of Arthur Guinness & Son.

Guinness was a progressive agro-chemical business and Gosset would apply his statistical knowledge both in the brewery and on the farm—to the selection of the best yielding varieties ofbarley. Gosset acquired that knowledge by study, trial and error and by spending two terms in 1906–7 in the biometric laboratory of Karl Pearson. Gosset and Pearson had a good relationship and Pearson helped Gosset with the mathematics of his papers. Pearson helped with the 1908 papers but he had little appreciation of their importance. The papers addressed the brewer’s concern with small samples, while the biometrician typically had hundreds of observations and saw no urgency in developing small-sample methods.

Another researcher at Guinness had previously published a paper containing trade secrets of the Guinness brewery. To prevent further disclosure of confidential information, Guinness prohibited its employees from publishing any papers regardless of the contained information. However, after pleading with the brewery and explaining that his mathematical and philosophical conclusions were of no possible practical use to competing brewers, he was allowed to publish them, but under a pseudonym (“Student”), to avoid difficulties with the rest of the staff.[1] Thus his most famous achievement is now referred to as Student’s t-distribution, which might otherwise have been Gosset’s t-distribution.

Introducing Radoop

Thats Right- This is Radoop and it is

Hadoop meats Rapid Miner=Radoop

 

 

http://prezi.com/bin/preziloader.swf

http://prezi.com/dxx7m50le5hr/radoop-presentation-at-rcomm-2011/

 

Radoop presentation at RCOMM 2011 on Prezi

What about Hive and Mahout?

Hive is a data warehouse infrastructure built on top of Hadoop, i.e. it uses the distributed file system of Hadoop and the efficient access technologies. Hive was initially developed by Facebook and is now used and developed by many other companies for their distributed data warehouse.

Mahout is a machine learning library already offering many scalable machine learning libraries implemented as well on top of Hadoop and its map & reduce paradigm. Hence, Mahout is one of the first distributed data analytics framework making use of the power of Hadoop.

You will see below that both frameworks will be tightly integrated with RapidMiner.

What can RapidMiner bring into the game?

Hadoop is great for large scale analytics, but it lacks an easy-to-use graphical interface. RapidMiner is an excellent tool for data analytics, but unless the analyst is not performing some nasty tricks, the data size is limited by the memory available. So we have the algorithms, the support for analytical process design, the user interface, and of course the community with a demand for large-scale analytics.

RapidMiner + Hadoop = Radoop

Radoop combines the strengths of RapidMiner and Hadoop. The result is a RapidMiner extension for editing and running ETL, data analytics and machine learning processes over Hadoop. The developers have closely integrated the highly optimized data analytics capabilities of Hive and Mahout, and the user-friendly interface of RapidMiner to form a powerful and easy-to-use data analytics solution for Hadoop.

Source-https://rapid-i.com/component/option,com_myblog/show,Big-data-analytics-made-easy-Radoop.html/Itemid,172/

 

and http://blog.radoop.eu/

Interesting? Sign up here- http://radoop.eu/z1sxe

How to use Video chat on Facebook

  1. Just go to http://www.facebook.com/videocalling
  2. Get Started
  3. See this. You will need to download and install something on your computer.And calls are just one on one (Unlike Google Huddle which can have upto ten people and also doesnot need any installer -esp if you use Chrome)
  4. Send a video message if your friend is not available. (that beats Google Huddle which doesnot seem to have the video inbox feature yet)

 

Cyber Attacks-Protecting your assets and people from cyber attacks

Cyber Attacks-Protecting your assets and people from cyber attacks

Everyday we hear of new cyber attacks on organizations and countries. The latest attacks were on IMF and 200,000 accounts of Citibank and now the website of the US Senate. If some of the most powerful and technologically advanced organizations could not survive targeted attacks, how effective is your organization in handling cyber security. Sony Playstation, Google Gmail, PBS website are other famous targets that have been victimized.

Before we play the blame game by pointing to China for sponsoring hacker attacks, or Russian spammers for creating Bot Nets or ex Silicon Valley /American technology experts rendered jobless by off-shoring, we need to both understand which companies are most vulnerable, which processes need to be fine tuned and what is the plan of action in case your cyber security is breached.

Which companies are most vulnerable?

If you have valuable data, confidential in nature , in electronic form AND connectivity to internet, you have an opening. Think of data as water, if you have a small leakage all the water can be leaked away. To add to complexity, the attackers are mostly unknown, and extremely difficult to catch, and can take a big chunk of your credibility and intellectual property in a very short time.

The best people in technology are not the ones attending meetings in nicely pressed suits– and your IT guy is rarely a match for the talent that is now available on freelance hire for cyber corporate espionage.

Any company or organization that has not undergone through one real time simulated cyber attack or IT audit that focuses on data security is very vulnerable.

Which organizational processes need to be fine tuned ?
Clearly employee access even at senior management needs to be ensured for both technological as well as social vulnerability. Does your reception take the name of senior management if cold called. Do your senior managers surf the internet and use a simple password on the same computer and laptop. Do you have disaster management and redundancy plans.
A wall is only as strong as its weakest brick and the same is true of organizational readiness for cyber attacks.

What is the plan of action in case your cyber security is breached?
Lean back, close your eyes and think your website has just been breached, someone has just stolen confidential emails from your corporate email server, and complete client as well as the most confidential data in your organization has been lost.

Do you have a plan for what to do next? Or are you waiting for an actual cyber event to occur to make that plan.