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

Joseph Marie Jacquard
Image via Wikipedia

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

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 €
  • 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

Related- https://decisionstats.com/2009/01/13/interview-dr-graham-williams/

Jump to JMP- the best statistical GUI software as per Google Search

This book just won an international award

producing graphs alongside results. In most cases, each page or two-page spread completes a JMP task, which maximizes the book’s utility as a reference.

Continue reading “Jump to JMP- the best statistical GUI software as per Google Search”

Revolution releases R Windows for Academics for free

Logo for R
Image via Wikipedia

Based on the official email from them, God bless the merry coders at Revo-

Revolution Analytics has just released Revolution R Enterprise 4.3 for 32-bit and 64-bit Windows, a significant step forward in enterprise data analytics.  It features an updated RevoScaleR package for scalable, fast (multicore), and extensible data analysis with R. Revolution R Enterprise 4.3 for Windows also provides R 2.12.2, and includes an enhanced R Productivity Environment (RPE), a full-featured integrated development environment with visual debugging capabilities. Also available is an updated Windows release of our deployment server solution, RevoDeployR 1.2, designed to help you deliver R analytics via the Web.

As a registered user of the Academic version of Revolution R Enterprise for Windows, you can take advantage of these improvements by downloading and installing Revolution R Enterprise 4.3 today. You can install Revolution R Enterprise 4.3 side-by-side with your existing Revolution R Enterprise installations; there is no need to uninstall previous versions.

 

Try JMP for free in steps 1-2-3

Test a 30 day free trial of JMP, the beautiful software with the ugliest website.

In case you have never used JMP, but know the difference between a mean and a mode- take a look.

Step 1 Fill long and badly designed outdated form (note the blue lightening graphics design and font)


Step 2 See uselessly long message, as the website does require registration but it has not done  any oAuth/SM easy registration even though they help sell software in the same campus on social media

Step 3 Wait for 352 mb TO DOWNLOAD without a bit torrent or mirror servers, or even a link for scheduling Download Accelerator-

Note internet connections can be lousy (globally not just in India) to categorize 352 mb of downloads as painful.


And after all the violence and double talk
There’s just a song in all the trouble and the strife

JMP is still the best easiest to use powerful Big Data software with extensions into R and SAS.

Free and Open Source cannot get basic economics correct

Nutch robots
Image via Wikipedia

Before you rev up those keyboards, and shoot off a snarky comment- consider this statement- there are many ways to run (and ruin economies). But they still have not found a replacement for money. Yes Happiness is important. Search Engine is good.

So unless they start a new branch of economics with lots more motivational theory and psychology and lot less quant especially for open source projects, money ,revenue, sales is the only true measure of success in enterprise software. Particularly if you have competitors who are making more money selling the same class of software.

Popularity contests are for high school quarterbacks —so even if your open source software is popular in downloads, email discussions, stack overflow or Continue reading “Free and Open Source cannot get basic economics correct”