Scientific knowledge is fundamentally built on data; yet, for too long, research datasets have remained siloed, poorly documented, and inconsistently ...
When Eric Weber, professor and chair of mathematics at Iowa State University, talks about data science with future math ...
Imagine working at a warehouse or office sometime in the near future, and you're asked to help a new trainee learn the basics ...
OpenML-Python provides an easy-to-use and straightforward Python interface for OpenML, an online platform for open science collaboration in machine learning. It can download or upload data from OpenML ...
Launched this winter, the Data-Driven Plant Science course bridges experimental biology with embedded sensing, bioinformatics, and machine learning.
ABLkit is an efficient Python toolkit for Abductive Learning (ABL). ABL is a novel paradigm that integrates machine learning and logical reasoning in a unified framework. It is suitable for tasks ...
Abstract: This paper presents a comprehensive literature review on applications of deep reinforcement learning (DRL) in communications and networking. Modern networks, e.g., Internet of Things (IoT) ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results