Long title: Measuring Semantic Relatedness using the Distance and the Shortest Common Ancestor and Outcast Detection with Wordnet Digraph in Python The following problem...
In my last blog, I explained my “Animal Spirit Model,” which I used to consider Paddock the Vegas shooter and the fictitious character Jack Torrance (played by Jack N...
Today almost every industry is experiencing significant digital disruption. Every business is eager to get on this bandwagon and strive to survive. CEOs are facing this 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...
In this Digitalage, every organization is trying to apply machine learning and artificial intelligenceto their internal and external data to get actionable insights which...
In this Digital age, every organization is trying to apply machine learning and artificial intelligence to their internal and external data to get actionable insights whi...
Over the past few years, an increasing protocol complexity has garnered a lot of attention among clinical trial experts. It has lead to various important studies beginnin...
This picture speaks more than words. It explains the concept or false positive and false negative, that is, what is referred to by statisticians as Type I and Type II err...
This article was written by Taras Firman. Today, businesses need to be able to predict demand and trends to stay in line with any sudden market changes and economy swin...
Deep Learning, Neural Networks and AI The course is a new one by Andrew Ng, Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group...