Комментарии:
I did not understand how the nearest neighbor is coming into the picture. Is it just selecting the top K from the softmax ? Also, how is the softmax output the vector for the video.
Ответитьthe algorithm is horrendous. the predictions are retarded.
ОтветитьIt's so simple, if there is anything wrong On yT, blame it on the algorithm.......... Insane
ОтветитьLove the in depth explanation and not just discussing the basic stuff on every Recsys intro video out there. Thanks!
ОтветитьAmazing Explanation. Also Thanks for sharing the relevant resources :)
Ответитьwas not expecting this to get so deep, was happily surprised
ОтветитьThanks a alot this video save my life for tommorow presentation! ❤🎉😊
ОтветитьCollaborative Filtering, Matrix Factorization and Deep Learning is explained well. It would be nice to put with its notebook to understand how it works?
ОтветитьThis channel should have millions of viewers.
ОтветитьIt's actually not svd algorithm, it's just svd-like algorithm, you can remove the middle matrix, just keep other two matrix is enough
ОтветитьThis is sn AI Viodeo and chanell FK this trap
ОтветитьBro is this math class or what
ОтветитьVery helpful
Ответитьim here because of a spike in one of my uploads
Ответитьnext time make a thumbnail where you open your eyes even bigger and maybe you will get more clicks.
ОтветитьIt remembers what you watched and recommends the same video over and over
ОтветитьI watched the video. I've been recommended this video twice after the fact. Maybe the algorithm predicts me speaking up and commenting?
Ответитьthis MATTrix. Bro, its not MATTrix, its MATErix
ОтветитьPlease look up how to pronounce "matrix," "lenient," and "cos." For a guy without an accent, your English is terrible.
ОтветитьA grain of sand.
Talking schitt to: the SAHARA
...will DROWN in a POOL
- of "his" NIGHT/mare 'n (error)
..."*sauce" 👈💩🍅💖💖💖💖
*(saw/us) 🤺
For Item-Item collaboration, is it "videos based on similar videos users liked"? or "videos based on similar videos similar users liked?" They can't correlate random likes can they?
ОтветитьOh damn, I didn't even know likes did anything, do you have a source for this infomation?
Ответить+1
ОтветитьmAtrix
ОтветитьWow i learn a lot in this High Quality video!,
liked and subscribed!
Also i dislike a lot of others videos in order to improve my vote in this one!
Thank you for sharing this video sir
Ответитьso i thought when item features are used than it's not CF but Hbrid beetween content based and collaborative filtering
ОтветитьThank you so much
ОтветитьThe irony is I searched this. It wasn't recommended to me.
ОтветитьDo a video about stocks man your smart asf I’m a rapper/nerd living in the hood I love these kind of videos. I love learning things like this. I’m happy why I stubbled upon your channel.
Ответитьthis video is not easy to understand, unless you know probabilities and math. You need use simple language and way to make ppl understand. Sorry not very helpful for many
ОтветитьThis was amazing, thank you
ОтветитьSir Which Software do You Used to Edit video...??
ОтветитьThere's the yt spam filter , and timed out in comments , and lag but that's prob in the formula too for the recommends end factor .
ОтветитьI like the way you explained this simply!
ОтветитьI have been watching your videos since long time and your mathematical approach is very unique and easy to understand. This channel explains ML better than top Universities. I follow Bishop's Pattern Recognition Textbook and all your mathematics are based on his textbook which is valuable than Gold. You are making the problems of hardest textbook for ML easy! Thank you for doing such a rich and quality work. I'm sure in few years this channel will start using it's own Collaborative Filtering ;)
Ответить