Data science aims to explore large amounts of structured and unstructured data sets – ‘big data’ – to design models and algorithms which can predict trends and guide decision-making. This field ...

Opinions expressed by Entrepreneur contributors are their own. These days, there is no shortage of data — even the earliest stage entrepreneurs are finding themselves sitting on mounds and mounds of ...

In this special guest feature, Kumaran Ponnambalam of Transera provides his views on the distinction between traditional data analysts and the newer designation of data scientist. Kumaran is Director ...

Data scientists are in such high demand that the role has been described by Harvard Business Review as "the sexiest job of the twenty-first century." In an age of artificial intelligence (AI) and ...

How to become a data scientist Want to start a career as a data scientist? Learn how to become a data scientist with career ...

What’s the difference between a data scientist and a data engineer? Quick access to the data-driven insights keeps the world’s best companies at the top of their game. But that data doesn’t just ...

Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...

As AI systems become more a part of our daily lives, the demand for people skilled in working with and building these systems will keep growing. In the past, data scientists were essential for ...

Garrett Andrews is an adjunct faculty member in the Department of Political Science at Portland Community College where he teaches State and Local Government. With five years of experience as a writer ...

Admit it, before you could grapple with Tensorflow and Keras, the Data Science world had moved on to Pytorch. I am not even going to the time when “R vs Python” was still a debate. That almost seems a ...