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 ...

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 ...

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 ...

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

Thanks to AI, data science tasks that once demanded specialized skills can now be performed faster, more accurately and at a ...

Opinions expressed by Entrepreneur contributors are their own. We are on the brink of a massive technological revolution as we slowly move from the water and steam-powered first industrial revolution ...

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 ...

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 ...

Could an AI scientist help researchers come up with breakthroughs by analysing data and searching the existing scientific literature? That's the claim of the inventors of Kosmos, but not everyone is c ...