This big picture view lays the foundation of our book Data Science for the Internet of Things. (Co-authored by Ajit Jaokar, Jean Jacques Bernard and Sukanya Mandal) We ad...
The list below is a (non-comprehensive) selection of what I believe should be taught first, in data science classes, based on 30 years of business experience. This is a f...
It is crucial to ask the right questions and/or understand the problem, prior to beginning data analysis. Below is a list of 20 questions you need to ask before delving i...
My daughter just started a business analytics Master’s program. For the probability sequence of the core statistics course, one of her assignments is to calculate t...
Black hat data science consists of techniques designed to fool existing algorithms (Google search, Amazon rankings, and so on), compromising or tampering with the metrics...
Predictive analytics uses current and historical data in order to determine the probability of a particular outcome. This is a particularly powerful approach when it is a...
R is a well-known and increasingly popular tool in the Data Science field. It is a programming language and a software environment primarily designed for statistical comp...
Summary: Researchers in Synthetic Neuro Biology are proposing to solve the AGI problem by building a brain in the laboratory. This is not science fiction. They are ...
It is hard to imagine that some data element could contain less information than a bit (a digit equal to either 0 or 1.) Yet examples are abundant. Indeed, I am wondering...
To SQL or not To SQL: that’s the question! Lemahieu W., vanden Broucke S., Baesens B. This article is based upon our upcoming book Principles of Database Management: Th...