Welcome back Ritvik :) Almost at 100K!! Super proud! Very well deserved!
@alexmash1353
2 жыл бұрын
Nice to see you back! Love your videos.
@ritvikmath
2 жыл бұрын
Thanks !
@YouAreTheRaidBoss
2 жыл бұрын
You're a bloody legend Ritvik! I love learning from you but don't stress yourself. You're setting your own priorities and that's the way it should be!
@ritvikmath
2 жыл бұрын
Thank you for saying that :)
@Mutual_Information
2 жыл бұрын
Nice to see you back! Was wondering whether you had dropped KZitem. Glad to see you didn’t
@ritvikmath
2 жыл бұрын
Nice to be back !
@halibrahim
Жыл бұрын
Watching this video in the parking lot. Thank you and keep the good work. Short, precise, applied and to the point. This is how applied stat and econometrics should be taught.
@rohitkhoiwal7803
2 жыл бұрын
Can you share how you achieved this simulation? It will be really helpful for my assignment.
@washedtoohot
Жыл бұрын
Would like to know this as well!
@CptJoeCR
2 жыл бұрын
The king returns!
@rahulprasad2318
2 жыл бұрын
Based guruji returns 🎉🎉
@ritvikmath
2 жыл бұрын
🎉
@hengdashi
Жыл бұрын
glad to see you back man even tho it's a month late ❤
@ritvikmath
Жыл бұрын
THANKSSSSSSSSSS 🎉
@galenseilis5971
2 жыл бұрын
Somehow we got through the whole video without explicitly hearing about "Pareto efficiency" or "scalarization": well done.
@jasdeepsinghgrover2470
Жыл бұрын
Would love a more detailed video as well. Like on regularization as multi objective optimization
@michaelrainer7487
Жыл бұрын
Nobody I know can use a children's marker on paper or a white board with tons of stats on it but STILL make it so understandable and clear. A+ my friend.
@GodsGrieff
2 жыл бұрын
I love the background of your video. You should use it more...it's a lovely soothing place!
@ritvikmath
2 жыл бұрын
Aw thanks 😊
@RaviShankar-de5kb
2 жыл бұрын
woohooo!
@Mars.2024
4 ай бұрын
great like always; Could you make more video about this concept and coding like running a real but simple project? 👩🏫
@maneeshajainz
4 ай бұрын
You are absolutely amazing in explaining concepts!
@rahulinvestdor6545
2 жыл бұрын
Keep going buddy, I love to learn from you.
@ritvikmath
2 жыл бұрын
Thanks 🙏
@jasdeepsinghgrover2470
Жыл бұрын
I think a linear combination of metrics is not that suitable even though it is very common. We should use the function of constraints that suits the kind of optimization. Like satisfier kind of constraints should have exponential costs if not satisfied and optimizer constraints should be linearly combined. Have seen this to work much better in papers for pose estimation where they need to get elbows and knees right
@philipsalvo
Жыл бұрын
do you have a notebook where this logic is exemplified?
@m.taufiqaffandi
Жыл бұрын
This is an amazing video! How to code the mouse-cat-cheese simulation btw?
@user-wr4yl7tx3w
2 жыл бұрын
Can you show the math behind this in the future. Would be interesting.
@ritvikmath
2 жыл бұрын
Great suggestion!
@boukraailyesali9131
2 жыл бұрын
Wich you talk about dynamic multi objective optimizations it is a fascinating domain(missils ...etc )
@randyng3336
2 жыл бұрын
Welcome back Ritvit, you've been missed dearly!!
@ritvikmath
2 жыл бұрын
Thanks !
@fhashim
Жыл бұрын
Please do some tutorials of linear and non-linear optimisation
@imdkkashyap9115
2 жыл бұрын
how to put fun target game number sir make video
@saisushanthdurvasulabitsian
2 жыл бұрын
Glad that you are back Ritvik 😊, isn’t this similar to lasso or ridge regression or in general regularised loss where the coefficient lambda determines the weight we give to regularisation vs minimising actual loss function and is dynamically tuned based on cv data
@ritvikmath
2 жыл бұрын
Great thought ! Lasso and Ridge can indeed be thought of as multi objective optimization problems too
@saisushanthdurvasulabitsian
2 жыл бұрын
@@ritvikmath thanks for the confirmation and reply
@ChocolateMilkCultLeader
2 жыл бұрын
wlecome back to the GOAT
@manueltiburtini6528
Жыл бұрын
Thank you for your videos
@bassoonatic777
2 жыл бұрын
Welcome back! Missed your videos.
@ritvikmath
2 жыл бұрын
Much appreciated
@vidabk
2 жыл бұрын
great video . Please proceed ahead in this series and teach more about multi objective optimization.
@ritvikmath
2 жыл бұрын
Thanks for the input!
@furqanhaider6839
Жыл бұрын
Why is cat static and cheese mobile?
@b0nce
2 жыл бұрын
Yeah, you're back :) Missed your videos
@ritvikmath
2 жыл бұрын
Happy to be back !
@alainlenoach754
2 жыл бұрын
It feels so much easier to learn from you than from 500 pages books. I would also enjoy some more safety-oriented videos: adversarial robustness, interpretability, trojans, alignment, black swans...
@jasdeepsinghgrover2470
Жыл бұрын
You can follow works by NN Taleb on black swans and others. Especially the book Statistical Consequences of Fat Tails
@alainlenoach754
Жыл бұрын
@@jasdeepsinghgrover2470 These books look great, but it's a big time investment to read. I personally enjoyed the Center for AI safety's course, it's pretty thorough and includes exercises.
@jasdeepsinghgrover2470
Жыл бұрын
@@alainlenoach754 Ohh... Would love to go through it
@michaelzumpano7318
2 жыл бұрын
What, no math!!! I think you should do a follow up where you develop the equations. What is the relationship of dynamic multi-objective optimization to Lagrange multipliers or other convex optimization topics?
@Septumsempra8818
2 жыл бұрын
How do we perform multi-variate sorts? Suppose you are trying to choose a portfolio of assets. I want to sort on return and risk. How do I get top 10 high return and low risk assets. P.S. I am an economist and know the theoretical way, but I can seem to easily apply it in this scenario. 🇿🇼🇿🇦
@AbhayTiwari
2 жыл бұрын
Isn't it similar to three body problem in physics ?
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