Data is the new fuel- it drives businesses towards exponential growths. It has the power to transform operational and add intelligent insights with its immense potential....
I found an interesting, free book which is still a work in progress book – The Data Engineering Cookbook I will be contributing through the author (Andreas Kretz.com...
Congratulations. It took time, but you’re data-driven. You’ve got data scientists to crunch numbers, a fully stocked data lake, and analysts to make it all make sense...
This post is a part of my forthcoming book on Mathematical foundations of Data Science. In the previous blog, we saw how you could use basic high school maths to learn a...
Business analytics is here to stay, and most ventures are wrapping their heads around the idea. Numerous data gets collected from various interactions among clients and p...
According to the “Future of Jobs 2018” report, it is said that with advancement in machines and artificial intelligence it is likely that these technologies will repl...
Many times, complex models are not enough (or too heavy), or not necessary, to get great, robust, sustainable insights out of data. Deep analytical thinking may prove mor...
Summary: If you want to understand the promise of AI/ML in healthcare you need to see it through the eyes of physicians, the ultimate users. Turns out these folks aren�...
This latest Data Science Central podcast traces the history of mixed-integer programming (MIP), noting several parallels with machine learning. In the process, we briefly...
Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint r...