GEM Distribution
In one of the introductory lectures on machine learning (a long time ago) I learnt some basics about mixture models, EM algorithm; the standard stuff. I was ...
This blog is an outlet for my machine learning, data science and for that matter anything that I find interesting enough to write about.
I am currently working as a data scientist at Zalando in Berlin. My interests include among other things sequential machine learning, revenue optimizing pricing algorithms and more recently Bayesian modeling.
I find myself often flirting with Tensor flow framework, and hope to write something on that as well.
I am currently working as a data scientist at Zalando in Berlin. My interests include among other things sequential machine learning, revenue optimizing pricing algorithms and more recently Bayesian modeling.
I find myself often flirting with Tensor flow framework, and hope to write something on that as well.
Recent posts
Better Pricing: Part 2
This post is a continuation of the previous post in the series “Better Pricing”. Last time, I introduced the basic set-up of the problem at hand and the cons...
Better Pricing: Part 1
This post is intended to document some of the ideas I have regarding the question of optimal pricing. The approach I take is rather academic and there are no...
Exponentiated Gradient for Online Regression
Till now I have worked on problems involving online optimization but in a very abstract sense and mostly along the lines of regret minimization algorithms. N...
A Balls and Bins Variation
In this post, I am looking at a bins and balls variation of the classic problem. The analysis may seem high-school level for some but I feel it is a cute and...