Why R Programming in Data Science?
Data Science is everyone’s word of the mouth in the current analytical eco-space. The study of Data Science which encompasses various subjects like Machine Learning, De...
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Gentle Approach to Linear Algebra, with Machine Learning Applications
This simple introduction to matrix theory offers a refreshing perspective on the subject. Using a basic concept that leads to a simple formula for the power of a matrix, ...
Real Time Computer Vision is Likely to be the Next Killer App but We’re Going to Need New Chips
Summary: Real Time Computer Vision (RTCV) that requires processing video DNNs at the edge is likely to be the next killer app that powers a renewed love affair with our...
Questions to ask while implementing Anomaly detection system
A.I. based automated Anomaly detection system is gaining popularity nowadays due to the increase in data generated from various devices and the increase in ever evolving ...
Web Scraping
All the data we need today is already available on the internet, which is great news for data scientists. The only barrier to using this data is the ability to access it....
Azure Machine Learning concepts – an Introduction
Azure Machine Learning concepts – an Introduction Introduction Last week, we launched a free book called Classification and Regression in a weekend. The idea of the...
Data Science Jobs – eBook Summary
As a senior datascience professional and analytics manager, I get countless requests for job search advice, resume feedback and heart-breaking stories from brilliant stud...
Cross Validation in One Picture
Cross Validation explained in one simple picture. The method shown here is k-fold cross validation, where data is split into k folds (in this example, 5 folds). Blue ball...
Xaas Business Model: Economics Meets Analytics
Digital capabilities leverage customer, product and operational insights to digitally transform business models. And nowhere is this more evident than the rush by indus...
Profiling Store Visitors
Our Telecom Client was developing a Big Data Product that will profile demography (Age, Gender, Income, Ethnicity, Marital Status) of the visitors of the stores receiving...