Artificial Intelligence on the Horizon The Future of Banking (First in a Series) Introduction Humanity has been on the road for a very long time—from the beginning, whe...
Summary: Over the last eight years predictive analytics has become a fully mature technology with wide adoption among the largest and most successful companies. The A...
In this Digitalage, every organization is trying to apply machine learning and artificial intelligenceto their internal and external data to get actionable insights which...
Manipulating and processing data in R Data structures provide the way to represent data in data analytics. We can manipulate data in R for analysis and visualization. One...
Models of Artificial Neural Networks There are various Artificial Neural Network Models. Main ones are Multilayer Perceptron – It is a feedforward artificial neural n...
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...
The development of Big Data, artificial intelligence and predictive analytics has created extravagant expectations for enterprise productivity growth — and aroused popu...