Creating maps in R using ggplot2 and maps libraries
Guest blog by Michael Grogan. Here is how we can use the maps, mapdata and ggplot2 libraries to create maps in R. In this particular example, we’re going to cre...
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Loop-Runtime Comparison R, RCPP, Python
The positive reactions on my last post: “Different kinds of loops in R” lead me to compare some different versions of loops in R, RCPP (C++ integration of R). To see ...
Machine Learning has Significant Potential for the Manufacturing Sector
Since the start of the renaissance era, technology started to take over the lives of the humans and to gown to greater heights in the coming decade with completely replac...
How To Choose An NLP Vendor For Your Organization
“The thinking in AI has changed from ‘What’s possible?’ to ‘How do I do this?’” explains Rafiq Ajani at McKinsey educational AI forum. Natural Language Proc...
Role Conflicts and Deviant Behaviours
It has been suggested the role conflicts can lead to poorer performance in the workplace. Below I present the general dynamics: more role conflicts equate to less perfo...
Fine grained analysis of K- mean clustering and where we are using it
K-means is a centroid based algorithm that means points are grouped in a cluster according to the distance(mostly Euclidean) from centroid. Centroid-based Clustering Cent...
Exposing Potential Fraud in Amazon Reviews
Amazon continues to be one of the most popular marketplaces in the US as well as the world due, at least in part, to its variety of product categories and product reviews...
What Are the Necessary Components of an Advanced Analytics Solution?
Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. It is also important to ens...
Retailers: Better Market Basket Analysis Will Keep You Ahead Of Competition
“It’s much easier to double your business by doubling your conversion rate than by doubling your traffic.” —Jeff Eisenberg, CEO of BuyerLegends.com It is but only...
[New] Handbook of Deep Learning Applications (Springer)
This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless c...