#Deeplearning is one of the most important skills data scientists can have these days. That said there are numerous other skills that get passed over in the search for good data scientists. I’ll attempt to discuss some of them in this series of tweets. — Rajesh S (rexplorations) (@rexplorations) July 18, 2018 This post stems […]Read more "Achieving Explainability and Simplicity in Data Science Work"
Data scientists come in many shapes and sizes, and constitute a diverse lot of people. More importantly, they can perform diverse functions in organizations and still stand to qualify under the same criteria we use to define data scientists. In this cross-post from a Quora answer, I wish to elucidate on the different kinds of […]Read more "Different Kinds of Data Scientists"
Although the data science and big data buzzwords have been bandied about for years now, and although artificial intelligence has been talked about for decades, the two fields are irrevocably inter-related and interdependent. For one thing, the wide interest in data science started just as we were beginning to leverage distribute data storage and computation […]Read more "The Expert System Anachronism in the Data Science and AI Divergence"
As a data science consultant that routinely deals with large companies and their data analysis, data science and machine learning challenges, I have come to understand one key element of the data scientist’s skill set that isn’t oft-discussed in data science circles online. In this post I hope to elucidate on the importance of domain […]Read more "Domain: The Missing Element in Data Science"