Manoj Tumu, shares how he landed an offer package of over $400,000 for an AI role at Meta and his advice for people entering tech.

The first step to a successful ML project is to understand that these projects require different processes, terminology, workflows, and tools than those needed by traditional development.

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model ...

Manoj Tumu, a machine learning engineer at Meta, advises aspiring professionals to prioritize gaining practical experience ...

The Advanced Analytics Platform for Machine Learning (CAP-M) project, which is being developed by DHS’s Science and Technology Directorate for CISA, is “envisioned to be a multicloud, multi-tenant ...

For the highest chances of success in machine learning, test your model early with an MVP and invest the necessary time and money to diagnose and fix its weaknesses.

Appen’s latest State of AI Report reveals advances in helping enterprises overcome barriers to sourcing and preparing their data.