mccormick.northwestern.edu

ELEC_ENG 395, 495: Optimization Techniques for Machine Learning and Deep Learning

A thorough understanding of Linear Algebra and Vector Calculus, and strong familiarity with the Python programming language (e.g., basic data manipulation libraries, how to construct functions and ...
JSTOR Daily

A kernel-free quadratic surface support vector machine for semi-supervised learning

In this paper, we propose a kernel-free semi-supervised quadratic surface support vector machine model for binary classification. The model is formulated as a mixed-integer programming problem, which ...
Visual Studio Magazine

Support Vector Machines Using Accord.NET

A support vector machine (SVM) is a software system that can perform binary classification. For example, you can use an SVM to create a model that predicts the sex of a person (male, female) based on ...
Forbes

Four Key Differences Between Mathematical Optimization And Machine Learning

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.
mccormick.northwestern.edu

ELEC_ENG 395, 495: Optimization Techniques for Machine Learning and Deep Learning

A thorough understanding of Linear Algebra and Vector Calculus, and strong familiarity with the Python programming language (e.g., basic data manipulation libraries, how to construct functions and ...