Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...

Python produces large slabs of white meat similar to chicken filet. Scientists are learning more about what sources of meat could serve as more sustainable alternatives to beef, pork and chicken.

ABSTRACT: In this work, a new method is presented for determining the binding constraints of a general linear maximization problem. The new method uses only objective function values at points which ...

Abstract: The simplex method, as proposed by Dantzig in 1947, is a widely-used practical algorithm for solving Linear Programs (LPs)—systems of linear inequalities headed by a single linear objective ...

Community driven content discussing all aspects of software development from DevOps to design patterns. I recently recently compared Java’s REPL scripting environment to Python’s. Many detractors felt ...