AI News, Prasoon Goyal

Prasoon Goyal

That is to say, given 100 images of a person and infinite computational power and time, is there a foolproof way to recognize an unseen photo of that person?

This is precisely the relation between machine learning and optimization - machine learning involves coming up with a mathematical model for a problem, which often turns out to be an optimization problem, that can now be solved using mathematical techniques.

1. Introduction and Optimization Problems

MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: Instructor: John Guttag ..

Machine Learning #25 Optimization: Problems & Algorithms

Machine Learning #25 Optimization: Problems & Algorithms Mathematical optimization is the selection of a best element (with regard to some criteria) from some ...

Multivariable maxima and minima

A description of maxima and minima of multivariable functions, what they look like, and a little bit about how to find them.

Optimization II (Genetic Algorithms)

Artificial Intelligence by Prof. Deepak Khemani,Department of Computer Science and Engineering,IIT Madras.For more details on NPTEL visit

Mathematics of Machine Learning

Do you need to know math to do machine learning? Yes! The big 4 math disciplines that make up machine learning are linear algebra, probability theory, ...

Convex Optimization for Finance

Visit to learn more. Convex Optimization for Finance This webinar will provide an introduction to the theory and practice of convex ..

Lecture 1 | Convex Optimization I (Stanford)

Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives the introductory lecture for the course, Convex Optimization I (EE ...

Lagrange Multipliers with equality and inequality constraints (KKT conditions)

Mod-01 Lec-22 Unconstarined multivariable optimization

Optimization by Prof. A. Goswami & Dr. Debjani Chakraborty,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit