Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

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

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.

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.

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will ...