Thinking of starting with Deep Learning,
Machine Learning and Data Science?

A data scientist needs to be Critical and always on a lookout of something that misses others.

As a data scientist I believe that a lot of work has to be done before Classification/Regression/Clustering methods are applied to the data you get.

This is a post which deviates from my pattern fo blogs that I have wrote till now but I found that Finance also uses up a lot of Statistics.

It has been quite a few days I have been working with Pandas and apparently I feel I have gotten quite good at it.

It has been a long time since I wrote anything on my blog.

Yesterday I got introduced to awk programming on the shell and is it cool.

Shell Commands are powerful. And life would be like hell without shell is how I like to say it(And that is probably the reason that I dislike windows).

When it comes to data preparation and getting acquainted with data, the one step we normally skip is the data visualization.

I generally have a use case for Hadoop in my daily job.

Last time I wrote an article on MCMC and how they could be useful.