Representation theory transforms abstract algebra groups into things like simpler matrices. The field’s founder left a list ...

Discover the fundamentals of linear regression and its applications. Learn more and enhance your data analysis skills today.

At the risk of resurfacing near-traumatic feelings for any readers, I want to share the introduction to the first chapter of the undergradua ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

This course provides an introduction to linear algebra topics. Emphasis is placed on the development of abstract concepts and applications for vectors, systems of equations, matrices, determinants, ...

When students take Algebra 1 matters. If high schoolers don’t pass the course by 9th grade, they’re unlikely to reach college-preparatory math in high school. There are too many courses to get ...

This situation has increased the attention and importance of noisy label learning, the process of training a deep ... In this paper, we propose the Linear Feature Source Prediction and Recombination ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...