I suck at the NCAA March Madness® bracket selection process. I let my personal biases get in the way of making decisions based upon the numbers. I over-rate the well...
The manufacturing business faces huge transformations nowadays. Due to rapid development of digital world and broad application of data science, various fields of human a...
I propose a new word for data science for sparking new thinking. Signuology is defined as the study of sets of characteristic predictive signals contained within data in ...
Running data science workloads is a challenge regardless of whether you are running them on your laptop, on an on-premises cluster, or in the cloud. While buying 100% man...
Introduction With the growth of Data science in recent years, we have seen a growth in the development of the tools for it. R and Python have been steady languages used b...
Last month I had an honor to participate in data science project reviews for the new graduates of General Assembly’s Data Science Immersive program. In the span of ...
This Springer book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new...
Value of adopting Data Science Skills Data Science is responsible to provide meaning to the large amounts of complex data called big data. It involves different fields of...
Data Science is a combination of data inference, algorithms, and technology that solves complex problems. The core of this technology is data that is initially raw, then ...
The following articles were hand-picked, and curated by one of our interns. They cover dozens of topics of interest to data scientists. Precision vs significance / accu...