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 ...

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Since November 2022, it has become obvious that generative AI is going to impact most ...

If you are an aspiring data scientist, you may have come across the terms artificial intelligence (AI), machine learning, deep learning and neural networks. Although these may appear to be futuristic ...

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 ...

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 ...

GenAI is undoubtedly changing how data scientists and analysts work, including tools, processes, and deliverables. Here’s what data scientists can do now to prepare. Until recently, data scientists ...

Modern data science emerged in tech, from optimizing Google search rankings and LinkedIn recommendations to influencing the headlines Buzzfeed editors run. But it’s poised to transform all sectors, ...

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 ...