Guest blog post by Gaurav Agrawal, COO at Soothsayer Analytics. In today’s world of big data and the internet of things, it is common for a business to find itself si...
Actually I’ve known about MXnet for weeks as one of the most popular library / packages in Kaggler, but just recently I heard bug fix has been almost done and some ...
Introduction We propose here a simple, robust and scalable technique to perform supervised clustering on numerical data. It can also be used for density estimation, and e...
One of the most important tasks in Machine Learning are the Classification tasks (a.k.a. supervised machine learning). Classification is used to make an accurate predicti...
Author: Marcos Sponton A few comments for those who are about to invest on Machine Learning intensive project During a conversation I had with Peter Norvig, we discussed ...
Regression is the first technique you’ll learn in most analytics books. It is a very useful and simple form of supervised learning used to predict a quantitative respon...
During the last few years, the hottest word on everyone’s lip has been “productivity.” In the rapidly evolving Internet world, getting something done fast always ge...
Summary: This is my favorite IoT story. We are so used to IoT platforms being physical objects that we forget about the potential for biologics. In terms of direct ec...
Anyone who attended statistical training at the college level has been taught the four rules that you should always abide by, when developing statistical models and predi...
Impact craters are distributed randomly on Mars and many other celestial bodies. Their radius most likely follow an exponential distribution. By estimating the mean of th...