Advanced Machine Learning, Data Mining, & Programmatic Advertising/Marketing Services
In this article, we describe several machine learning algorithms for computing and serving the best converting digital ad/offer from a pool of ads. Using programmatic advertising powered by optimization algorithms enable Ad Tech companies to maximize their revenue at large scale. You can read the full article from here: Multi-Armed Bandit Algorithms for Computational Advertising
Why Amazon Started with Books? - in this post we explain why Jeff Bezos, Amazon CEO started with books and how this helped Amazon to differentiate themselves from brick and mortar stores which have limited space to hold their inventory. You can read the full article from here: Why Amazon Started with Books?
US Election 2016 - In this post we collect large amount of conversation data from social media channels and web in order to analyze the trend of next US election. You can read the full article from here: US Election 2016
In this post, we describe the research work done in the last two years for analyzing a large volume of tweets for predicting political elections. You can read the full article from here: Predicting US Elections
In this article, we discuss the relationship between entropy and predictability and provide insights on how data scientists can use measures such as entropy to compute bounds on how far they can improve their predictive models. You can read the full article from here: Entropy and Predictability
In this post we explain the mathematics behind Latent Dirichlet Allocation (LDA) model using collapsed Gibbs sampling technique. Also we demo a Java implementation of the LDA model. You can read the full article from here: Latent Dirichlet Allocation
In this post, we describe a Real-Time application which measures how healthy your place of living is by analyzing tweets. You can read the full article from here: Starling: A Flu Predictor App!