Summary: What comes next after Deep Learning? How do we get to Artificial General Intelligence? Adversarial Machine Learning is an emerging space that points to tha...
In this year of Rudolf Kalman’s demise, this article is dedicated to his memory. We introduce a new Machine Learning (ML) solution for Dynamical, Non-linear, In-Stream ...
Database marketing is the process of collecting, analyzing, and identifying important information about you customers. The information comes different channels like sales...
“Information is the oil of the 21st century, and analytics is the combustion engine” Peter Sondergaard, SVP, Gartner Research In analytics, we retrieve infor...
Ever wondered why people have an affinity towards using certain apps vs others even though other apps provide the same functionality? Or, they are more attracted to certa...
Data Frames are the tables to store data. If you recall the vectors from the first R notes data frames can be imagined as the collection of vectors with same dimension. W...
Guest blog post by Brian Rowe Another big part of the food supply comes from ranches and farms that raise and slaughter various livestock. While ranching is sometime...
If a picture is worth thousand words, then what about a neat data visualization? Displaying information in graphics to generate better insights is not a new phenomenon, b...
By Dan Kellett, Director of Data Science, Capital One UK Over the past few months my blogs have attempted to demystify some of the techniques used by Data Scientists to b...
By Matt Holzapfel, procurement/sourcing product lead at Tamr Our previous post discussed the challenges procurement must overcome to improve its productivity. Fortunat...