This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...

Customer data platforms (CDPs) first gained popularity among marketing users as the technology tackled the marketing function’s complex customer data management challenges. These challenges included ...

Purpose: Brain tumor segmentation with MRI is a challenging task, traditionally relying on manual delineation of regions-of-interest across multiple imaging sequences. However, this data-intensive ...

Real-world data is often costly, messy, and limited by privacy rules. Synthetic data offers a solution—and it’s already widely used: SDV (Synthetic Data Vault) is an open-source Python library that ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...

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A new machine learning model will analyze a user’s search activity, YouTube history, and account age to spot kids who are under 18. Google will soon begin testing a machine learning-based model that ...

Google will start testing a feature this year that uses machine learning to weed out children trying to access adult content on YouTube. The “machine learning-based age estimation model” will try to ...