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

Applications Big Data and Analytics IT Management Why Machine Learning Projects Fail – and How to Make Sure They Don’t The first step to a successful ML project is to understand that these ...

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.

Apple's Machine Learning projects are added to the company's devices to provide support in the daily lives of its users with disabilities.

Overview: Free datasets are essential for practice, research, and AI model development.Platforms like Kaggle, UCI, and Google ...

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

Aircraft surface inspections are a critical and mandatory component of airworthiness that uses visual and digital checks to spot minute damage, wear, or malfunction.

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 ...

According to research from DataRobot’s Algorithmia unit, 87% of companies cite long deployment times as a challenge in machine learning projects.

Machine learning is also helping scientists engage the public in conservation. For example, forecasts produced by the BirdCast team are often used to inform Lights Out campaigns.