When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

Instead of acting as isolated tools, ML, DT, and Edge AI work together to create intelligent, adaptive, and self-optimizing ...

Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

This paper provides a review and commentary on the past, present, and future of numerical optimization algorithms in the context of machine learning applications. Through case studies on text ...

A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...