This article was written by Suresh Kondamudi. Dealing with large datasets is often daunting. With limited computing resources, particularly memory, it can be challenging ...
This article was written by Lixun Zhang. As a data scientist, I have experience with R. Naturally, when I was first exposed to Microsoft R Open (MRO, formerly Revolution ...
There are some expressions about data that are getting a bit tired: Data is the new oil; In God We Trust (all others must bring data); Buy data, sell high… Okay, yo...
How can you transition your business analytics from a manual, slow, and prone to error data transformation process in Excel into a reliable and automated solution to empo...
This is the second of two articles about our recent participation in the Pandemic Response Hackathon. Our project (CoronaRank) was one of only 5 projects out of 230 submi...
The Covid19 pandemic has given me a chance to catch up on some reading. One of the books I recently finished reading is called “Building a Story Brand” by Donald Mill...
Data mining includes statistics and elements of statistical analysis. Some people describe the two as interconnected, others as them being on a continuum. This one pi...
Since technical debt has become a central part of my recent professional challenges, I started writing a series of installments regarding this topic. Do not expect any ex...
My new ebook about Agile, AI, data, deep learning, IT and much more. Highly polemic, contrarian and insightful. It informs, educates and entertains. It incites thought, r...
Marketing, at least in the IT sector, has been replaced by memes. Every so often a Gartner slide deck goes viral, and the next thing anyone knows, pithy and mostly meanin...