AI fuels Duke research with the potential to improve human lives, from modeling patient hearts with supercomputers and mining ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Characteristics and predictive modeling of HER2 mutation in patients with non-small cell lung cancer. This is an ASCO Meeting Abstract from the 2023 ASCO Annual Meeting I. This abstract does not ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen on the surface of materials. Scientists and engineers study the atomic ...

Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data. Let’s take a ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

What is boosting in machine learning? Boosting in machine learning is a technique for training a collection of machine learning algorithms to work better together to increase accuracy, reduce bias and ...

RTB House is an adtech platform for e-commerce and global brands that automates media buying using artificial intelligence.