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Showing posts from March, 2015

Ruby Version Of Programs In "A Programmer's Guide To Data Mining"

I have written the Ruby version of the programs in the online book "A Programmer's Guide To Data Mining". The book's website is http://guidetodatamining.com/ . This is my first small step into the world of analytics and now I feel I am a member of the exclusive Numerati club. Though the book is on data mining, it is a good entry level resource for machine learning. It simplifies and de-mystifies data analytics for the programmer using Python examples. I translated the programs into Ruby for my own learning, as well as for further simplification and de-mystification with easy language idioms.

Key Points From A Programmer's Guide To Data Mining

Preface To me, the best programmers are empty cups, who constantly explore new technology (noSQL, node.js, whatever) with open minds. Mediocre programmers have surrounded their minds with cities of delusion -- C++ is good, Java is bad, PHP is the only way to do web programming. MySQL is the only database to consider. My hope is that you will find some of the ideas in this book valuable and I ask that you keep a beginner's mind when reading it. As Shunryu Suzuki says:

Learning From A Programmer's Guide To Data Mining

During the past weeks, I was reading up, and learning from the online book, A Programmer's Guide to Data Mining by Ron Zacharski. The website is http://guidetodatamining.com/