This paper presents the application of the Classification Learner MATLAB tool from the Statistics and Machine Learning Toolbox for the classification process in a fingerprint recognition system based ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

Enhance engagement, personalize instruction, and streamline tasks with AI tools that support smarter, more efficient ...

This course will cover a wide range of machine learning methods, both model-based and algorithmic.

I developed 2 machine learning software that predict and classify ozone day and non-ozone day. The working principle of the two is similar but there are differences. I got the dataset from ics.icu.

A key challenge in developing and deploying Machine Learning (ML) systems is understanding their performance across a wide range of inputs. To address this challenge, we created the What-If Tool, an ...

Learning to act for people and planet Education for Sustainable Development (ESD) is UNESCO’s response to the urgent challenges facing our planet. Education for Sustainable Development empowers people ...

A good drill/driver raises your capabilities as a DIYer, and our picks are manageable even if you’ve never used one before.

Toolbox for performing gene set enrichment analysis in Matlab (including ensemble enrichment) - benfulcher/GeneCategoryEnrichmentAnalysis ...

Technological advancements have intensified the need for a more comprehensive education across various disciplines, leading to the development of active learning methodologies to enhance the teaching ...