As I write this blog, we are still in the early stages of the coronavirus crisis. It is a scary situation which has caused hoarding, panic, fake news, lies, stock marke...
1. Introduction Pandas First, Pandas is an open source Python library for data analysis. It contains data manipulation and data structures tools designed to make spreadsh...
Shiny is the most popular framework among R users for developing dashboards and web applications. It is commonly used by statisticians and data scientists to present and ...
Chatbots, voice-activated assistants and other AI-powered devices have been in use for over a decade. Over this time, human-to-machine interactions improved due to sophis...
A few years ago, in a Q&A session following a presentation I gave on data analysis (DA) to a group of college recruits for my then consulting company, I was asked to ...
Mathematical optimization (MO) technologies are being utilized today by leading global companies across industries – including aviation, energy, finance, logistics, tel...
An unpublished experimental report may have an interesting new way to understand the unexpected result of the Michelson-Morley Experiment of 1887. The new understanding...
Introduction Kubernetes is being described as the next ‘Java’ i.e. it is fast becoming an endemic/ underlying platform for the whole industry just like the Java progr...
IT professionals acquire AI expertise in a short time by attending couple of online courses. Once the courses are completed successfully, these new gen AI experts look fo...
Edge computing is a hot topic and carries with it some confusion, particularly around storage. Handling data properly at the edge can ensure a scalable, cost-effective an...