One does not simply descend into optimality | Introduction to Machine Learning | CS771
Channel: ML Conversations
Date: 2023-02-15

A deeper look at algorithms to perform optimization under constraints.
Developed as a part of the course CS771 Introduction to Machine Learning offered at IIT Kanpur.


TIMESTAMPS
-----------------------
00:00 - Introduction
01:10 - Projected descent methods
02:12 - A few useful projections
02:58 - The barrier method
04:09 - Examples of approximate barriers
05:13 - An illustrative example
07:57 - Exercise
08:19 - Summary


CONTENT
----------------
Original slides, code and notes available on GitHub
https://github.com/purushottamkar/cs771

Slides and animations developed using Microsoft PowerPoint
Video recorded using OBS Studio and edited using Shotcut
https://obsproject.com/
https://shotcut.org/

Intro sting and outro music: TFB9 by Vibe Tracks
https://music.youtube.com/watch?v=c5hRwY_nEg4

Emoticons from Flaticon, designed by Twitter
https://www.flaticon.com/packs/smileys-and-people-9
Licensed under CC BY 3.0

Fonts
Sifonn by Rafa Goicoechea
Calibri by Luc(as) de Groot


ABOUT THIS CHANNEL
--------------------------------------
ML Conversations is a space to discuss about machine learning and its myriad applications.
Check out our channel here: https://www.youtube.com/c/MLConversations
To stay posted on new videos, subscribe and click the bell if you wish to receive notifications as well.