This is the last post in the series of articles about using Multi-Channel Attribution in marketing. In previous two articles (part 1 and part 2), we’ve reviewed a simple and powerful approach based on Markov chains that allows you to effectively attribute marketing channels. This is the last post in the ...

This is the last post in the series of articles about using Multi-Channel Attribution in marketing. In previous two articles (part 1 and part 2), we’ve reviewed a simple and powerful approach based on Markov chains that allows you to effectively attribute marketing channels. In this article, we will review another ...

In pervious posts traditional regression models were fitted to real estate data. In this post tree-based models, namely random forests and gradient boosting, are trained to predict prices of the rent. These methods typically outperform traditional regression models yielding smaller errors. Furthermore, tree-based methods are much more robust to overfitting, ...

Yesterday and today I attended the data2day, a conference about Big Data, Machine Learning and Data Science in Heidelberg, Germany. Topics and workshops covered a range of topics surrounding (big) data analysis and Machine Learning, like Deep Learn...

Yesterday and today I attended the data2day, a conference about Big Data, Machine Learning and Data Science in Heidelberg, Germany. Topics and workshops covered a range of topics surrounding (big) data analysis and Machine Learning, like Deep Learnin...

This is the third, and probably last, of a series of posts touching on the estimation of complier average causal effects (CACE) and latent variable modeling techniques using an expectation-maximization (EM) algorithm . What follows is a simplistic way to implement an EM algorithm in R to do principal strata estimation ...

This tutorial was inspired by a this post published at DataScience+ by Bidyut Ghosh. Special thanks also to Dani Navarro, The University of New South Wales (Sydney) for the book Learning Statistics with R (hereafter simply LSR) and the lsr packages available through CRAN. I highly recommend it. Let’s ...

Sometimes we don’t even realize how common machine learning (ML) is in our daily lives. Various “intelligent” algorithms help us for instance with finding the most important facts (Google), they suggest what movie to watch (Netflix), or influence our shopping decisions (Amazon). The biggest international companies quickly recognized the ...

Analysis of the effects of the Graham-Cassidy Bill on the ACA population - I have been trying to decipher for myself, what is in the current (well, yesterday’s) Graham-Cassidy health care bill. I saw this image on many news outlets a few da...

What is rrricanes Why Write rrricanes? There is a tremendous amount of weather data available on the internet. Much of it is in raw format and not very easy to obtain. Hurricane data is no different. When one thinks of this data they may be inclined to think it is ...