On this online, self-paced course you'll get an overview of regression types and learn about the application of multiple linear regression. The main part of the course focuses on the theory behind ...

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 is the coding implementations of the DSA.js book and the repo for the NPM package. In this repository, you can find the implementation of algorithms and data structures in JavaScript. This ...

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

PCWorld reports Microsoft is embedding AI into DirectX with new tools called DirectX Linear Algebra and DirectX Compute Graph Compiler to revolutionize game rendering. Major chip makers AMD, Intel, ...

Abstract: Property service quality (PSQ) evaluation is the key means of property management. Traditional PSQ evaluation is usually based on the rational hypothesis of the evaluators. The evaluators’ ...

Abstract: Group-based sparsity models are instrumental in linear and non-linear regression problems. The main premise of these models is the recovery of “interpretable” signals through the ...

Russell (Rust Scientific Library) helps develop high-performance computations involving linear algebra, sparse linear systems, numerical mathematics (continuation), differential equations, statistics, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Nowadays, frontiers among different sciences are revealed as diffuse, and as a ...

Many complex data analysis problems within and beyond the scientific domain involve discovering graphical structures and functional relationships within data. Nonlinear variance decomposition with ...