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MachineLearning

Machine-learning model tracks trends in public finance research

Credit: Pixabay/CC0 Public Domain What are the leading topics in public finance and budgeting, how have they changed, and what future topics should be more closely researched by professionals and practitioners? Can Chen and two of his former doctoral students, Shiyang Xiao at Syracuse University and Boyuan Zhao at Florida International University,

Machine-learning tools reveal impact of supervisor-student relationship on student creativity

The experiment can be divided into two stages, as seen in this schematic. In stage 1, the subject takes an interview conversation experiment and the procedure is recorded by the camera for further analysis. In stage 2, the subject completes a questionnaire related to supervisor-student effect evaluation. The questionnaire data are added to construct a structural equation model for study 2 analysis. Credit: Jingyi Hu, Yaxuan Liu, Qijian Zheng, and Feng…

Machine-learning model makes more accurate predictions about ocean currents

Computer scientists at MIT joined forces with oceanographers to develop a machine-learning model that incorporates knowledge from fluid dynamics to generate more accurate predictions about the velocities of ocean currents. This figure shows drifting buoy trajectories in the Gulf of Mexico superimposed on surface currents. The red dots mark the buoys’ positions on March 9, 2016, and the tails are 14 days long. Credit: Edward Ryan and Tamay Özgökmen from…

MIT Taxonomy Helps Build Explainability Into the Components of Machine-Learning Models

Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users. Explanation methods that help users understand and trust machine-learning models often describe how much certain features used in the model contribute to its prediction. Credit: Christine Daniloff, MIT; stock imageResearchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.Explanation methods that help users…

A Comprehensive Guide To Common Machine-Learning Preprocessing Techniques | by Emmett Boudreau | Jul, 2022

An overview and story of various different preprocessing techniques, as well as where they apply in machine-learning(image by padrefilar on pixabay)A very common misconception that new and aspiring Data Scientists often have when entering the domain is that most of Data Science revolves around artificial intelligence, machine-learning, and other popular and obscure buzzwords. While many of these buzzwords are certainly different aspects of Data Science, and we really do program machine-learning models, the majority of the…

AI Machine-Learning: In Bias We Trust?

MIT researchers find that the explanation methods designed to help users determine whether to trust a machine-learning model’s predictions can perpetuate biases and lead to worse outcomes for people from disadvantaged groups. Credit: Jose-Luis Olivares, MIT with images from iStockphotoAccording to a new study, explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups.Machine-learning algorithms are sometimes employed to assist human…

ExSum Mathematical Framework To Evaluate Explanations of Machine-Learning Models

Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them. Credit: MIT News with images from iStockphoto<span class="glossaryLink" aria-describedby="tt" data-cmtooltip="<div class=glossaryItemTitle>MIT</div><div class=glossaryItemBody>MIT is an acronym for the Massachusetts Institute of Technology. It is a prestigious private research university in Cambridge, Massachusetts that was founded in…