What you'll learn

Formulating linear programs and solving them
Sensitivity analysis
Making intelligent decisions
Foundation of machine learning

Requirements

Familiarity with linear algebra and coordinate geometry will be helpful

Description

This course aims at making you comfortable with the most important optimization technique - Linear Programming. It starts with the concept of linear, takes you through linear program formulation, brings you at ease with graphical method for optimization and sensitivity, dives into simplex method to get to the nuances of optimization, prepares you to take advantage of duality and also discusses various special situations that can help you in becoming smart user of this technique.

This course is being build-up and remaining lectures will be added soon.

Who this course is for:

Students and professionals working with optimization techniques for deep leaning, machine learning and artificial intelligence.

Homepage: https://www.udemy.com/course/linear-programming-for-machine-learning/