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Next, we are going to try our hands on solving the most classical type of optimisation problem — convex problems. We'll learn the ...

This session discusses all the concepts that come under the heading *Optimization*. The following slides and notes were used in ...

We will continue or discussion of the stochastic gradient descent method from the last video and discuss in more details about and ...

This is the first lecture on a series of lectures on Optimization for machine learning or statistical learning. In the first batch of ...

Week 1 of my self-study journey through optimization and ML theory! In this video, I share my study approach and what I learned ...

Welcome to Week 0 of my journey learning convex optimization and machine learning theory. I'm a recent graduate working as a ...

Nowadays, online social networks play a crucial role in shaping human communication in various life activities. Social Network ...

A technical deep dive into the functionality and algorithm of FICO Xpress's MINLP Solver. We will walk through all the components ...

This video walks you through what to expect in Course 1: Introduction in our Maths for Design Optimisation series, and how to get ...

Title: Large-Scale Optimization for Geometry Processing Speaker: Justin Solomon Associate Professor, EECS and CSAIL, ...

Something important happened here — and it's easy to misunderstand it if we oversimplify. A cutting-edge AI model was given an ...

n this video, we dive deep into regression analysis using gradient descent, a powerful optimization technique. Learn how gradient ...

Ever wondered about the pitfalls of one of machine learning's fundamental optimization algorithms? This video dives deep into ...

Dive into the fascinating world of objective functions and discover if they can indeed comprise multiple terms. This video breaks ...

Complementing with the previous exercise, we're going to take a look at another kind of convex optimisation — quadratic ...

Ever wondered why finding the absolute best solution in machine learning models can be so tricky? It often comes down to the ...

Ever wondered what it truly means for an optimization algorithm to 'converge'? Dive deep with us as we break down the critical ...

Ever wondered what exactly makes a problem a 'mathematical optimization problem'? This video breaks down the core ...

Ever wondered if the fundamental optimization algorithm, Gradient Descent, can hit a snag and fail to reach its intended goal?

Ever wondered about the mathematical core behind logistic regression? This video breaks down the elusive loss function, ...