A fictitious retailer which I am calling Malwart sells automobiles and automotive parts. On this blog I will be focused on the sale of a particular automobile model cal...
This article was written by Andy at Adventures in Deep Learning. Fully connected neural network example architecture In previous tutorials on deep learning, I have taught...
This article is written by Giuseppe Bonaccorso. One of the most interesting effects of PCA (Principal Component Analysis) is to decorrelate the input covariance matrix C...
I originally wrote this article on LinkedIn. While there is a host of articles that focus on mechanics and methods in Data Science and Data Analytics, I believe the found...
Data mining is the process of looking at large banks of information to generate new information. Intuitively, you might think that data “mining” refers to the extract...
This post is dedicated to all the R Lovers…Flaunt your knowledge of R programming in your peer group with the following code. Wish Christmas with R Method 1 : Run ...
For long, insurance firms have been relying on traditional virtual assistants. But with the advent of improved analytics, insurance technology startups (better known as I...
Market Mix Modeling (MMM) is a technique which helps in quantifying the impact of several marketing inputs on sales or Market Share. The purpose of using MMM is to unders...
This article was written by Jim Frost. The standard error of the regression (S) and R-squared are two key goodness-of-fit measures for regression analysis. While R-squar...
My good friend Vinnie participates in an automobile insurance program that rewards him for good driving behaviors; the better driving behaviors he exhibits, the more mone...