A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

McGill University researchers have developed an artificial intelligence tool that can identify small groups of cells most ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

This course presents the fundamental principles of structural analysis, determination of reactions, internal forces and deflections under the static load conditions. The course is mainly focused to ...

Peter Robinson is joined by Zohar Palti — Distinguished Visiting Fellow at the Hoover Institution and former head of the Intelligence Directorate in Israel’s Mossad — for a rare inside account of how ...

Tim Smith has 20+ years of experience in the financial services industry, both as a writer and as a trader. Yarilet Perez is an experienced multimedia journalist and fact-checker with a Master of ...

Immersive courses. Engaged faculty. Inspired scholars. These are the heart of Miami University’s diverse arts and science curriculum. The College of Arts and Science (CAS) fosters a climate that ...

Abstract: The problem of reinforcement learning (RL)-based fuzzy control for nonlinear systems with unknown dynamics via parallel composite policy iteration (PCPI) scheme is studied in this article.