Explore Data Science

Data Science is one of the emerging and challenging area in today's world. Along with statistics and machine learning data scientist should know programming, technology and big data. Purpose of this blog is to bridge the gap between ML, Maths and Technology. And to provide introduction to general topics of both of these areas. An effort to provide little help to the people who want to make their foot prints in these areas.

Thursday, 19 June 2014

Bayes Theorem and Bayesian Statistics : Simple Understanding

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This is one of the important theorem and one need to have clear understanding about it. It took a while for me to understand this in a ma...
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Thursday, 12 June 2014

Brief Description About Modelling Techniques in DS project

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There are various statistical and machine learning modelling techniques that can be applied in solving a Data Science Problems. Few of the...

Debugging With Pig: Using Illustrate

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Illustrate is an Interesting operator which is capable of generating test data automatically. It looks for present data in your input and...
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Discrete and Random Variables

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Difference Between Discrete and Continuous Random Variables To understand difference between Discrete and Continuous variable we need...
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Dynamic Partitioning With Hive

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Automatic (Dynamic) Partitioning With Hive Partitioning in Hive is usually considered to be tedious task while loading the data. You ...
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