mlwhiz

Turning data into insights

Top Data Science Resources on the Internet right now

I have been looking to create this list for a while now. There are many people on quora who ask me how I started in the data science field. And so I wanted to create this reference.

To be frank, when I first started learning it all looked very utopian ...

Top advice for a Data Scientist

A data scientist needs to be Critical and always on a lookout of something that misses others. So here are some advices that one can include in day to day data science work to be better at their work:

1. Beware of the Clean Data Syndrome

You need to ask ...

Machine Learning algorithms for Data Scientists

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. The data which may be messy, unwieldy and big. So here are the list of algorithms that helps a data scientist to make ...

Things to see while buying a Mutual Fund

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. So it won't be a far cry to put this on my blog here. I recently started investing in Mutual ...

Behold the power of MCMC

Last time I wrote an article on MCMC and how they could be useful. We learned how MCMC chains could be used to simulate from a random variable whose distribution is partially known i.e. we don't know the normalizing constant.

So MCMC Methods may sound interesting to some ...

My Tryst With MCMC Algorithms

The things that I find hard to understand push me to my limits. One of the things that I have always found hard is Markov Chain Monte Carlo Methods. When I first encountered them, I read a lot about them but mostly it ended like this.

The meaning is normally ...