Man, I swear, I am so surprised you have so little views and likes - this is magnificent work. Thank you so much. Moving forward to the next videos.
@fatriantobong81694 ай бұрын
I think it's because of his explanation is fascinating only to him to sound smart. It doesn't reach general audience
@thewannbeintellectual2433 жыл бұрын
Thank you so much for making these videos! I'm looking forward to part two!
@woofwoof66822 жыл бұрын
You make everything so easy and simple. You definitely deserve more subscribers.
@MichelleRiam Жыл бұрын
Thank you so much for doing this. As a person who doesn't have a strong math background, I really appreciate the work and effort you have put into this VDO. Thank you!!
@SupremeChickenx3 жыл бұрын
thanks for your videos man, sometimes what i really want is someone to explain this stuff from another angle in an intuitive and clear way like this
@Gibson-xn8xk2 жыл бұрын
I really appreciate the work you have done. When you want to explore something new, it's extremely important to form an intuition for what you're dealing with. Otherwise, you will suffer from complex mathematics, even if you are good at it. Thanks to you, this is no longer a problem.
@almonddonut18182 жыл бұрын
Thank you so much! I always turn to your videos for the best, most intuitive explanations!
@justinstacruz4874 Жыл бұрын
This man is the most slept on fr I appreciate your ds videos!
@shubhampandilwar84483 жыл бұрын
Very intuitive explanation. Looking forward to the next video. Hoping for deeper understanding of this algorithm.
@atomicuniversity1797 Жыл бұрын
I agree with Stas! This was a great video that simplified and clearly described SVM in a way that anyone can understand! Thanks for making these videos!
@shayankhosravi1722 жыл бұрын
these videos are too underrated. thank you so much for your breaf and clear explanations. soooooo useful
@thewisearchitect Жыл бұрын
You have explained it like no one else. Keep up the good work.
@ramankutty12453 жыл бұрын
Your explanations are so easy to understand for math-untrained people like me. Thanks, and keep going
@WassupCarlton2 ай бұрын
clean, crispy and concise. bravo sir, and thank you
@emmanuelibrahim64272 жыл бұрын
Excellent delivery! Explained so clearly! The decision boundary is a line, plane or hyperplane. Well done!
@diegooliveira7713 Жыл бұрын
Amazing video! Very well explained. Thank you for your work!
@pavelrozsypal89562 жыл бұрын
Great explanation, both concise and precise. Very good description of substantial properties of SVM.
@morenomt279 ай бұрын
You've explained my professor's whole 13 part lesson in one 8min video!! thank you
@vsjaggi2 жыл бұрын
this is such a fantastic video. thank you so much for explaining things so well!
@YingleiZhangАй бұрын
A talent teacher! Millions of thanks!
@Max-my6rk3 жыл бұрын
have ML exam on Thursday and I am watching this.. after reviewing Andrew's coursera course, standford class, and MIT AI class.. This one is pretty clear.. Thank you. rush to your next video.
@yashmishra8452 жыл бұрын
Great work! Never thought I would understand the concept of SVM by just watching one video. 👍🏼 Hope more people watch and subscribe.
@user-vn5dr6xp9e4 ай бұрын
Ur explanation for SVM is impeccable! Thanks a lot for the video :) You've got a new subscriber here
@luchomame19 ай бұрын
Thanks for making my classes make sense! Professor explained this but not nearly as elegantly as you did!!
@setegnalemu31462 жыл бұрын
Naturally talented for explaining complicated concept in simpler way.
@Annisa-yc5zp2 жыл бұрын
You're such a good teacher! Thank you so much this is really helpful..
@victorbotelho36093 жыл бұрын
Great content, as always!
@naomichin53473 жыл бұрын
You're amazing this video has helped so much. Thank you!!
@redforestx7371 Жыл бұрын
Awesome! Thank you!
@asgharbeigi9718 Жыл бұрын
wooooo! Amazing man. Thank you for this education. You made it extremely easy to understand.
@user-or7ji5hv8y3 жыл бұрын
it's a great idea that you walk into the video. this way we can take a screen shot of the notes. also, if you do write anything on the board, throughout the video, then may be you can walk out of the camera view at the end. that might be really helpful. thanks
@sophiehaug33192 жыл бұрын
Thank you- very well explained!
@sushibooshiАй бұрын
I'm taking a course on udemy and watching all your videos afterwards. You explain things so well and make it so easy to understand!
@sunnygla43232 жыл бұрын
thank you so much!!! 8 minutes is better than my 2 hours lecture in uni
@onechance32882 жыл бұрын
amazing work! Very helpful... thanks a lot!
@VIMALKUMARS-lo3wx Жыл бұрын
This video deserves more views than it currently has .
@ritvikmath Жыл бұрын
thanks!
@ARROBACOMPUTERS2 жыл бұрын
Great explanation. Thanks!
@petersimpson8178 Жыл бұрын
You are amazing! Thank you!
@ritvikmath Жыл бұрын
You are!
@fengjeremy78782 жыл бұрын
What a great lecture!
@lilianaaa98Ай бұрын
very clear explanation,thank you!
@jovinMendes3 жыл бұрын
So so helpful. Thanks so much Ritvik
@sohaybemad623 Жыл бұрын
man, you are great. thank youuu❤❤
@learn50813 жыл бұрын
extremely clear lecture. wonderful
@august4633 Жыл бұрын
Very good video. Perfect explanation. Thank you.
@ritvikmath Жыл бұрын
Glad it was helpful!
@mohammed_ali1045 Жыл бұрын
CLEAR EXPLAINATION THANK YOU.
@gunaraj69472 жыл бұрын
Thanks Ritvik for awesome explanation.
@SaifUlIslam-kq9pc2 жыл бұрын
hats off, you got one more subscriber
@ha97sa2 жыл бұрын
youuuuuuuuuuu areeeee the bessstttttt i sweaaaaaar 🤩👏
@goncalocruz22063 жыл бұрын
As always making it look simples ! Will you focus on classification or also touch regression ? Looking forward for the next video !
@ramonnepomuceno52992 жыл бұрын
Good work!
@Palapi_H11 ай бұрын
Damn easy to understand now. Tks
@BlueDopamine2 жыл бұрын
Awsome Video
@abhistan2 жыл бұрын
Very helpful, thank you
@pranjalpatil96592 жыл бұрын
Underrated!!
@mohamedhazem68662 жыл бұрын
really good tutation go on
@alpozennnnn3 жыл бұрын
great content!
@lalitkharel50872 жыл бұрын
awesome!!!
@muralikrishnagadepalli44543 жыл бұрын
Very intuitive
@moganlarry14172 жыл бұрын
best videos of ML on youtube
@Zaznobable Жыл бұрын
very clear! thanks
@ritvikmath Жыл бұрын
You're welcome!
@oladayoowoeye36782 жыл бұрын
this guy is fantastic
@mathsworld64112 жыл бұрын
excelent
@TheWhyNotSeries3 жыл бұрын
Good contents thanks!
@shivan393 жыл бұрын
Looking forward to math video
@abdallahtoba75683 ай бұрын
amazing 👏
@ritvikmath3 ай бұрын
Thanks!
@mekings04223 жыл бұрын
this is so amazing and simple to grab
@ritvikmath3 жыл бұрын
thanks!
@parveenparveen93843 жыл бұрын
@@ritvikmath , Thank you for the video. Generally outliers are removed before applying the algorithm, then still why outliers are used while considering the disadvantage of algorithm?
@faezeabdolinejad7312 жыл бұрын
Thanks❤🌹🎈
@kostas14773 жыл бұрын
can you make a video explaining Baum-Welch
@user-il8gv3rl7b3 жыл бұрын
thank you
@ritvikmath3 жыл бұрын
Welcome!
@n.m.c.5851 Жыл бұрын
thanks
@desigulal2 жыл бұрын
why isn't this guy teaching in some of the top schools in the US ?
@luvisacigarette83 жыл бұрын
@1:34 "...people who don't know about statistics or anything at all..." (ears perk up)
@vishallochana80247 ай бұрын
ela
@kartikpatil50973 жыл бұрын
Hey Can you do a video on Post-double selection lasso please
@yavuzanyavuz Жыл бұрын
Dummy comment for this awesome channel to get algorithm support and hit more subs
@ritvikmath Жыл бұрын
love it!
@user-or7ji5hv8y3 жыл бұрын
What I find confusing is how only the support vectors are needed to determine the decision boundary. Surely you want your decision boundary to be dependent on all data points.
@BlueSapphyre2 жыл бұрын
Because you’re trying to maximize the boundary, points not defining the boundary don’t need to be considered. Think of it like. If you were to remove that data point, would the boundary change?
@istiarsobudiyuwono45242 жыл бұрын
Can we use SVM? If we want to analyze repeated event (example sheetbreak, etc which happen once 1 month ) by reading historical data and give labels, 1 hour before break, 2 hours before break 3 hours before break up to 8 hours before break? . then we can do something to prevent that event, before it really hapenned What the best algorithm for this case if SVM is not suitable? Thankyou