The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

This course is designed for students from various disciplines that use data to inform decision-making. It is suitable if you want an in-depth understanding of how machine learning can be integrated ...

DEIR AL-BALAH, Gaza Strip (AP) — The Palestinian death toll from the 20-month Israel-Hamas war passed 55,000, the Gaza Health Ministry said Wednesday, and hospitals said at least 21 people were killed ...

Machine learning workflow platforms are growing rapidly. However, for developers, developing a machine learning workflow from scratch involves tedious and error-prone tasks such as component ...

KarmaDock proposes a deep learning workflow for ligand docking that shows improved performance against both benchmark cases and in a real-world virtual screening experiment.

The ever advances in wireless communication and mobile networks have brought novel workflow-formed applications, such as virtual reality and live-streaming, to our daily life. Arousing a growing need ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Issues Pull requests Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng data-science machine-learning course deep-learning notes ...