Data modeling has been a fixture of enterprise architecture since the 1970’s with ANSI defined conceptual, logical, and physical data schema. As data models devel...
Background Last week, I spoke at the Swiss Mobile Association. The event was held at one of the oldest cross-functional research institutes Gottlieb Duttweiler Institut...
Here are a few challenges for the mathematically inclined – most data scientists are. This is just fun problems if you have some time to kill. The first problem is ...
This article was contributed by Statistical Future. Whether you want it to or not, credit and its availability plays a major role in everyone’s life, whether or not you...
In this continuation of “Hybrid content-based and collaborative filtering recommendations wi…” I will describe the application of the {ordinal} clm() function t...
I will use {ordinal} clm() (and other cool R packages such as {text2vec} as well) here to develop a hybrid content-based, collaborative filtering, and (obivously) model-b...
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
Summary: As a profession we do a pretty poor job of agreeing on good naming conventions for really important parts of our professional lives. “Machine Learning” i...
In a previous blog post we have seen how to build Convolutional Neural Networks (CNN) in Tensorflow, by building various CNN architectures (like LeNet5, AlexNet, VGGNet...
Abstract – As I mentioned in my earlier blog post “Machine Learning in FinTech – Demystified” you will realise today in payments machine learning is one ...