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… Read More »Real Time Computer Vision is Likely to be the Next Killer App but We’re Going to Need New Chips
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… Read More »Questions to ask while implementing Anomaly detection system
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… Read More »Web Scraping
Azure Machine Learning concepts – an Introduction Introduction Last week, we launched a free book called Classification and Regression in a weekend. The idea of… Read More »Azure Machine Learning concepts – an Introduction
As a senior datascience professional and analytics manager, I get countless requests for job search advice, resume feedback and heart-breaking stories from brilliant students who… Read More »Data Science Jobs – eBook Summary
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,… Read More »Cross Validation in One Picture
Digital capabilities leverage customer, product and operational insights to digitally transform business models. And nowhere is this more evident than the rush by industrial companies… Read More »Xaas Business Model: Economics Meets Analytics
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… Read More »Profiling Store Visitors
I stumbled upon this book by chance, when searching for material about time series (probably the most interesting chapter in this collection.) The various chapters… Read More »Free Book: Statistics, Dataviz, and Data Cleaning with R
The following notes represent a complete, stand alone interpretation of Stanford’s machine learning course presented by Professor Andrew Ng and originally posted on the ml-class.org website during the fall… Read More »Lecture Notes by Andrew Ng : Full Set
