Some quotes on learning -
Learning never exhausts the mind
December 14, 2014
June 27, 2014
Clojure Koans
Clojure Koans (http://clojurekoans.com) are exercises that test your knowledge of Clojure.
June 22, 2014
Getting started with Clojure - Part 3
In this section, the main focus is on the workflow - how to create, run, test, ship a project.
Getting started with Clojure - Part 2
In this section, the main focus is on the different data types supported by Clojure. We also learn how to create and call functions.
Getting Started with Clojure - Part 1
Basic introduction to clojure and some pointers on how to install Clojure and Leinigen.
June 21, 2014
Getting started with Clojure
Just started learning Clojure. (http://clojure.org)
Screencast by Craig Andera through Code School is a great way to start. Easy to understand and very well explained.
My plan is to go through this screencast, learn the basics, then read through "Programming Clojure" by Stuart Halloway which Roy has recommended as a great book.
And then work through examples in 4clojure website and clojure koans code.
(http://www.4clojure.com/ and http://clojurekoans.com/)
Clojure website has lot of resources if you need to refer. http://clojure.org/getting_started
Screencast by Craig Andera through Code School is a great way to start. Easy to understand and very well explained.
My plan is to go through this screencast, learn the basics, then read through "Programming Clojure" by Stuart Halloway which Roy has recommended as a great book.
And then work through examples in 4clojure website and clojure koans code.
(http://www.4clojure.com/ and http://clojurekoans.com/)
Clojure website has lot of resources if you need to refer. http://clojure.org/getting_started
May 16, 2014
TSK - Chapter 8 - Cluster Analysis
Cluster analysis could be defined as "Finding groups of objects such that the objects in a group will be similar (or related) to one another and different
from (or unrelated to) the objects in other groups."
In short, cluster analysis divides the data into groups(clusters) that are meaningful, useful or both.
There are many applications of cluster analysis to practical problems.
In short, cluster analysis divides the data into groups(clusters) that are meaningful, useful or both.
There are many applications of cluster analysis to practical problems.
February 17, 2014
TSK - Chapter 4 - Classification
Classification is the task of assigning objects to one of several pre-defined categories. E.g - detecting spam email messages based upon the message header and content, categorizing cells as malignant or benign based upon the results of MRI scans, and classifying galaxies based upon their shapes ..etc
February 16, 2014
TSK - Chapter 3 - Exploring Data
Data exploration is a preliminary exploration of the data to better understand its characteristics.
TSK - Chapter 2 - Data
Data is a collection of objects and their attributes. An attribute is a property or characteristic of an object. A collection of attributes describe an object.
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