In the blog “Data Science ‘Paint by the Numbers’ with the Hypothesis Development…,” I introduced the Hypothesis Development Canvas as a tool for linking an ...
I’ve spent time over the last few months attempting to enhance my skills in the statistical sub-field of causal inference. Overly simplified, causal inference compr...
This article was posted by Dean Attali. Dean is currently an R-Shiny consultant. Shiny is a package from RStudio that can be used to build interactive web pages with R....
Most of the literature we find on machine learning talks about two types of learning techniques – supervised and unsupervised. Supervised learning is where we have a ...
By Ajit Jaokar and Cheuk Ting Ho. Exclusively for Data Science Central members, with free access. You can download this book (PDF) here. Introduction Enterprise AI: An ...
Recommendations and Feedbacks The vast majority of B2C services are quickly discovering the strategic importance of solid recommendation engines to improve the conversion...
As we all know in today’s world of quick results and insights nobody wants to spend time in understanding the core concepts of certain statistical terms while performin...
Cognitive Computing is often used interchangeably with artificial intelligence, not that it’s entirely incorrect. MIT Sloan School of Business, for instance, defines th...
Summary: A defensible data strategy increasingly defines those AI businesses that will be successful. VCs know this and are steering the funding to this strategy. R...
Describing and picturing MLAlgos and Machine Learning is the main idea of this post. I will attempt to answer few basic questions as well. Though these questions have bee...