With rapid advances in AI and data science, data has become an essential asset to every enterprise. Setting up a data strategy, therefore, has become every enterpriseR...
In order to be a highly efficient, flexible, and production-ready library, TensorFlow uses dataflow graphs to represent computation in terms of the relationships between ...
The term ‘data visualization’ was coined a couple of years ago. But storytelling finds its roots in the earliest of times. Using characters, events, event sequences, ...
In my previous blog “How DevOps Drives Analytics Operationalization and Monetization”, I discussed the critical and complementary role of DevOps to operationalize and...
The Machine Learning Race is upon us. Every organization is seeking to outpace their competition by leveraging AI/ML to drive differentiation for their business. To win t...
Introduction Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems. At the co...
Introduction One of the major reasons organizations migrate to the AWS cloud is to gain the elasticity that can grow and shrink on demand, allowing them to pay only for r...
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 are ac...
There are plenty of resources on the Internet to learn linear algebra or to get a refresher, including our own tutorial (here). Below are three interesting books found on...