This bridge course has a very practical curriculum, which covers the fundamentals of linear algebra as they are used in applied statistics courses. Some of the topics include, but are not limited to, ...

This course gives a thorough introduction to linear algebra with emphasis on vector spaces, linear maps, spectral theory, orthogonality and applications of this theory. MATLAB is used for ...

To do this, we will look into programming some of the most volatile math around: Linear Algebra. 3 Solution Description Math is a java class that implements several useful functions such as max and ...

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 ...

A study of data from 2,000 students highlights the best strategies for catching kids up and ensuring they pass this key ...

However, it is not an easy-to-handle function. For this reason, in this article, we first present a semi-linear approximation of the Marcum Q -function. Our proposed approximation is useful because it ...

Among other things, the course includes elementary linear algebra, the solution of equation systems, the theory of functions of several variables, including both unconstrained and constrained ...

Abstract: This paper describes iterative procedures for determining linear and piecewise linear discriminant functions for multicategory pattern classifiers. While classifiers with the same structure ...

After passing the course the student has obtained an understanding of the basic concepts of linear algebra. He/she has theoretical understanding of linear systems, least squares problems and ...