Stochastic processes have many applications, including in finance and physics. It is an interesting model to represent many phenomena. Unfortunately the theory behind it ...
Stochastic processes have many applications, including in finance and physics. It is an interesting model to represent many phenomena. Unfortunately the theory behind it ...
I have been looking to create this list for a while now. There are many people on quora who ask me how I started in the data science field. And so I wanted to create this...
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...
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 ...
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...
This paper enlightens the way companies can design Intelligent System to understand their customers’ sentiments better to improve their experience, which will help the ...