Linear Nonlilear Programming

The authoritative guide to modeling and solving complex problems with linear programming—extensively revised, expanded, and updated
The only book to treat both linear programming techniques and network flows under one cover, Linear Programming and Network Flows, Fourth Edition has been completely updated with the latest developments on the topic. This new edition continues to successfully emphasize modeling concepts, the design and analysis of algorithms, and implementation strategies for problems in a variety of fields, including industrial engineering, management science, operations research, computer science, and mathematics.

Linear Regression and Logistic Regression for beginners. Understand the difference between Regression & Classification

This book meets the need for a modern, multidisciplinary introduction to the field that covers foundations and applications. Written by Krzysztof Apt, an authority on the subject, it will be welcomed by graduate students and professionals. With the insertion of constraint techniques into programming environments, new developments have accelerated the solution process.

Linear Algebra (matlab - python) & Matrix Calculus For Machine Learning, Robotics, Computer Graphics, Control, & more !

Build predictive ML models with no coding or maths background. Linear Regression and Logistic Regression for beginners

Linear Regression and Logistic Regression for beginners. Understand the difference between Regression & Classification