Mash Hash Smash

Mash Hash Smash
To all the Larries of the world
the Joes, the Jims, the Steves
A shout out, much respect, you have unfurled.

Mash
First create a mash, an aggregated stash
Cross Domain platforms , the blurring of silo edges,
Intra department rivalries have no place in Klaatus world
Create a mash-up , shut up and draw
Do not swallow your own FUD in AAker’s brand indentity trap
Cognitive Bias leads to agency conflict
Ignore the little guys who bond in dorms at your peril,
Statistically the young still have more time than the boomers
to adapt , to change, to nurture the trees that stood for 300 million years

Hash
Congratulations, you got some money
Enjoy the lunch, the San Fransisco strip pubs, attention
Working furiously as the launch date approaches
Dont leave your prototype when you schmooze
remember your hommies and bro
Nice people last nice products have faltered
Everyone hates pompous software marketing
Create a hash tag in your blog
make title tag both tweet optimized and web search crawl able
If you are good to the search engine
It being fair will reward you well
On the internet phonies don’t last except in bubbles

Smash
When the economy is down is a good time to hire top talent at negotiable rates
When the economy is up is a good time to move from naive sales forecast models
The ego of the CEO is less valuable than the death of an elephant
Elephants dont dance but peacocks do
Use Fear Doubt Uncertainty selectively
Karma revolves FUD PIE on your face
be generous to schools you didnt study in
The poor have a right to college in India and China
Your medicine costs 1/10 th in Asia
Outsource but dont betray your nation
Outsource everything except your pride
Enjoy the show, welcome to the ride

Scholarships for students via #rstatsjobs and R-lings

Outstandingly attractive scholarships are available for students willing to travel to Yorkshire. Thats where the Battle of Roses was fought by the British Royal Family.

see http://en.wikipedia.org/wiki/Wars_of_the_Roses

Emphasis and spaces in email above are made by me.

Message from Dr Top i bell ow-

It is not New York but very old York, in the North of England.

The scholarships carry a tax-free stipend and financial assistance will be
given for travel expenses to and from York. Accommodation for successful
students is available on the University of York Campus.

For information about the tax-free stipend please write to
scholarships@yccsa.org.

Continue reading “Scholarships for students via #rstatsjobs and R-lings”

New book on BigData Analytics and Data mining using #Rstats with a GUI

I am hoping to put this on my pre-ordered or Amazon Wish list. The book the common people who wanted to do data mining with , but were unable to ask aloud they didnt know much. It is written by the seminal Australian authority on data mining Dr Graham Williams whom I interviewed here at https://decisionstats.com/2009/01/13/interview-dr-graham-williams/

Data Mining for the masses using an ergonomically designed Graphical User Interface.

Thank you Springer. Thank you Dr Graham Williams

http://www.springer.com/statistics/physical+%26+information+science/book/978-1-4419-9889-7

Data Mining with Rattle and R

The Art of Excavating Data for Knowledge Discovery

Series: Use R

Williams, Graham

1st Edition., 2011, XX, 409 p. 150 illus. in color.

Softcover, ISBN 978-1-4419-9889-7

Due: August 29, 2011

54,95 €

ABOUT THIS BOOK
AUTHORS & EDITORS

Encourages the concept of programming with data – more than just pushing data through tools, but learning to live and breathe the data
Accessible to many readers and not necessarily just those with strong backgrounds in computer science or statistics
Details some of the more popular algorithms for data mining, as well as covering model evaluation and model deployment

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms.

Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing.

The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

Content Level » Research

Keywords » Data mining

Related subjects » Physical & Information Science