When I first started out learning about machine learning algorithms, it turned out to be quite a task to gain an intuition of what the algorithms are doing. Not just beca...
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 ...
Analytics has taken world by storm & It it the powerhouse for all the digital transformation happening in every industry. Today everybody is generating tons of data �...
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...
Overview In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as los...
I developed R and Python cheatsheets last year. The advanced R version is posted on RStudio Inc. website. Below links you can find these cheatsheets: For original artic...