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 ...

As organizations worldwide adopt machine learning across virtually every industry, the demand for machine learning engineers is on the rise. Anyone with “machine learning” in their job title, or even ...

This article was originally published on .cult by Nate Rosidi. .cult is a Berlin-based community platform for developers. We write about all things career-related, make original documentaries and ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

As rapidly growing amounts of data are created and used in industry and research environments, there is an increasing demand for people who are able to pursue data-driven thinking and decision-making ...

Big data engineers develop, maintain, test, and evaluate big data solutions within organizations. Duties include resolving ambiguities in data, performance optimization, and data extraction. Big data ...

As recently as five years ago, many health marketing firms lacked an in-house data operation. Now nearly every organization has multiple data scientists on call — and, with the arrival of generative ...

That's the conclusion of a survey of 750 technology managers and professionals, released by Algorithmia, which examined growth and staffing patterns in machine learning initiatives. The survey's ...

Roorkee: With an endeavour to future-proof the careers of tech professionals,the Indian Institute of Technology Roorkee and TimesPro – a Higher Edtech Platform have announced the commencement of ...

Justin Chen received his PhD in Physics from Rice University before deciding to make the jump from academia to machine learning. He spent the last few years as a Machine Learning Engineer at Manifold, ...