Collaborative Filtering : Data Science Concepts

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  • เผยแพร่เมื่อ 13 ธ.ค. 2024

ความคิดเห็น • 122

  • @samaelauneor
    @samaelauneor 3 ปีที่แล้ว +80

    3 weeks of classes in the university and you summarized everything in 12 min. In a way I finally could understand, ofc. Thank you for that.

  • @wordsexplained7565
    @wordsexplained7565 4 ปีที่แล้ว +29

    It's really incredible to think that out there, there are genius people sharing this type of content, and by genius, I mean someone like ritvikmath, that instead of being like the usual majority that hide their lack of knowledge behind a lot of blind nonsense formalism, gift his viewers with a deluge of knowledge like this lecture of today. We're really grateful for your work!

  • @ankurdubey1441
    @ankurdubey1441 3 ปีที่แล้ว +10

    This is one of the best explanation of collaborative filtering on internet. Thank you !

  • @mdahsanul
    @mdahsanul ปีที่แล้ว +1

    After going through the comments, I feel like I am so lucky to choose this video as the first video to learn collaborative filtering.

  • @thangtran145
    @thangtran145 3 ปีที่แล้ว +1

    To future people, do not dislike this video. It's extremely helpful! Thank you.

  • @legendary5320
    @legendary5320 2 หลายเดือนก่อน +1

    holy shit. an insane video, clear, concise, and to the point. Really appreciate this stellar explanation man

  • @dareadewoleii2585
    @dareadewoleii2585 19 วันที่ผ่านมา

    While I'm a bit late to this party, I wanna say your explanation was simply PERFECT!!!

  • @MsKakashi2012
    @MsKakashi2012 2 ปีที่แล้ว +1

    Best person to explain data science concepts in the whole youtube imo

  • @adebayoemmanuel911
    @adebayoemmanuel911 ปีที่แล้ว

    I'm liked this video to Increase the collaborative filtering so that TH-cam can recommend more of this video to me.

  • @burburchacha
    @burburchacha หลายเดือนก่อน

    11:55

  • @ResilientFighter
    @ResilientFighter ปีที่แล้ว

    Very much needed. This is extremely used in the real world, but not really much teaching in undergraduate.

  • @JohnAndrewsKatadhinco
    @JohnAndrewsKatadhinco 7 หลายเดือนก่อน

    An excellent and easy-to-understand explanation. Thanks for breaking it down and sharing some of the challenges with collaborative filtering!

  • @borisdrogendijk1888
    @borisdrogendijk1888 ปีที่แล้ว

    I have noticed to be a bit late to the party with all of your videos, yet I still wanted to just let you know that you by far explain anything related to machine learning and data science out of all the guys i have stumbled upon, cheers mate!

  • @Somish3
    @Somish3 ปีที่แล้ว

    This is such a brilliant explanation, I was already pulling my hair trying to understand this concept and you just saved me, thank you! 👍

  • @bankruptLucifer
    @bankruptLucifer ปีที่แล้ว

    Excellent explanation. Precise, clear and easy to follow. Thank you!

  • @elkanaajowi9093
    @elkanaajowi9093 3 หลายเดือนก่อน

    I now understand why mathematics, in itself, is a field to be studied.

  • @mr.kkquanini1156
    @mr.kkquanini1156 2 ปีที่แล้ว +1

    I just l love the approach and your way of delivering, it has really helped me a lot. Thank you

  • @hounddog1
    @hounddog1 10 หลายเดือนก่อน

    Awesome tutorial, extremely clearly explained. Thank you!

  • @sabazainab1524
    @sabazainab1524 3 ปีที่แล้ว +4

    The best youtube channel found on the internet. You are so amazing, Sir. I have watched a few other videos of yours and just clicked the subscribe button. You teach very easily and effectively. Thank you so much.

  • @denjand
    @denjand 7 หลายเดือนก่อน

    Super easy to understand. Thank you so much for the great explanation!

  • @neotokyovid
    @neotokyovid 3 หลายเดือนก่อน

    BRILLIANTexplanation! THX!

  • @haibhanu
    @haibhanu 2 ปีที่แล้ว

    Super Explanation given to the concept. It really clarifies most of my doubts regarding the topic.. Thank You very much..

  • @adamtran5747
    @adamtran5747 2 ปีที่แล้ว +1

    love the content brother. Keep it coming.

  • @mbanta
    @mbanta 9 หลายเดือนก่อน

    very clear explanation that answered many questions I had from a lecture. Thanks.

    • @ritvikmath
      @ritvikmath  9 หลายเดือนก่อน

      Glad it was helpful!

  • @hameddadgour
    @hameddadgour 2 ปีที่แล้ว

    Great content! Thank you for sharing.

  • @mathy642
    @mathy642 15 วันที่ผ่านมา

    Thanks for such brilliant video

  • @amipigeon
    @amipigeon 2 ปีที่แล้ว

    Thanks for such a clear and concise explaination!

  • @ashbk1911
    @ashbk1911 4 ปีที่แล้ว +3

    Very good explanation

    • @venkatnetha8382
      @venkatnetha8382 4 ปีที่แล้ว

      For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
      payhip.com/b/ndY6
      You can download the sample pages so as to see the quality of the content.

  • @ahmadhaziq3358
    @ahmadhaziq3358 3 ปีที่แล้ว +1

    Wow this is very well explained

  • @MegaJohnwesly
    @MegaJohnwesly ปีที่แล้ว

    Love this explanation Ritvik.. Thank you

  • @nataliaminnigalimova7582
    @nataliaminnigalimova7582 2 ปีที่แล้ว

    Thank you for an amazing, understandable tutorial!

  • @dragolov
    @dragolov 6 หลายเดือนก่อน

    Bravo, Maestro!

  • @Katharina-xt5il
    @Katharina-xt5il 5 หลายเดือนก่อน

    Great explanation!

  • @just_a_viewer5
    @just_a_viewer5 5 หลายเดือนก่อน

    amazingly taught. thank you so much

  • @sivaneshc109
    @sivaneshc109 3 ปีที่แล้ว +1

    Amazing explanation!!! Thanks!

  • @eliastheod
    @eliastheod 3 ปีที่แล้ว

    Excellent. Thank you very much!

  • @shakedg2956
    @shakedg2956 3 ปีที่แล้ว

    You are very talented in explaining!

  • @drupad-l4i
    @drupad-l4i 3 หลายเดือนก่อน

    this was soo helpful , i was taking andrew ng courses on couresera but he didnt explain it as clearly as you were. thank you soo much.

    • @ritvikmath
      @ritvikmath  3 หลายเดือนก่อน

      Glad it was helpful!

  • @ruslanshchuchkin
    @ruslanshchuchkin 3 ปีที่แล้ว +1

    man what a great video, thanks a lot!

  • @gm4984
    @gm4984 5 หลายเดือนก่อน

    Explained really well! Tyty :D

  • @karitaalmeida1429
    @karitaalmeida1429 2 ปีที่แล้ว

    Amazing explanation! Thank you very much.

  • @abhishekchandrashukla3814
    @abhishekchandrashukla3814 ปีที่แล้ว

    Sir, great work.

  • @TheWurmBrand-tx4kv
    @TheWurmBrand-tx4kv 14 วันที่ผ่านมา

    thanks man, i've looked for ever for a video the gives details about the math,but not in great details

  • @rmiliming
    @rmiliming 2 ปีที่แล้ว

    excellently explained.

  • @mikeyt51386
    @mikeyt51386 ปีที่แล้ว

    Great video. I just subscribed!

  • @leorousseau3959
    @leorousseau3959 2 ปีที่แล้ว

    Really great video

  • @soner5917
    @soner5917 2 ปีที่แล้ว

    Super nice explanation. Thank you :)

  • @lvmrjb
    @lvmrjb 4 ปีที่แล้ว +1

    Watched 2 of ur videos so far that explain the concepts extremely well for a class project I have to do :) Your teaching and content are excellent!!

    • @ritvikmath
      @ritvikmath  4 ปีที่แล้ว

      Great to hear!

    • @venkatnetha8382
      @venkatnetha8382 4 ปีที่แล้ว

      For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
      payhip.com/b/ndY6
      You can download the sample pages so as to see the quality of the content.

  • @stmasanti
    @stmasanti ปีที่แล้ว

    Geniously explained

  • @alexivanov8800
    @alexivanov8800 4 ปีที่แล้ว +1

    Excellent content! thanks!

    • @ritvikmath
      @ritvikmath  4 ปีที่แล้ว

      Glad you liked it!

    • @venkatnetha8382
      @venkatnetha8382 4 ปีที่แล้ว

      For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
      payhip.com/b/ndY6
      You can download the sample pages so as to see the quality of the content.

  • @lilianaaa98
    @lilianaaa98 7 หลายเดือนก่อน

    I really love your video, thank a lot

  • @hallvardjohnsen8302
    @hallvardjohnsen8302 4 หลายเดือนก่อน

    Great video.

  • @NDBGamingHD
    @NDBGamingHD 5 หลายเดือนก่อน

    great video!

  • @iaaan1245
    @iaaan1245 3 ปีที่แล้ว

    Bro this is awesome stuff

  • @mehdicharife2335
    @mehdicharife2335 3 หลายเดือนก่อน

    As always, very concise and succinct explanation. Do you have other videos, or some recommendations that can help explain intuitively how matrix factorization fits into this?

  • @k5555-b4f
    @k5555-b4f 4 ปีที่แล้ว

    Awesome videos - concepts very clearly explained

    • @venkatnetha8382
      @venkatnetha8382 4 ปีที่แล้ว

      For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
      payhip.com/b/ndY6
      You can download the sample pages so as to see the quality of the content.

  • @user-or7ji5hv8y
    @user-or7ji5hv8y 3 ปีที่แล้ว

    So well explained.

  • @xxshogunflames
    @xxshogunflames 4 ปีที่แล้ว

    Awesome vid, thank you!

    • @venkatnetha8382
      @venkatnetha8382 4 ปีที่แล้ว

      For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
      payhip.com/b/ndY6
      You can download the sample pages so as to see the quality of the content.

  • @durgaprasadvadlamoodi1271
    @durgaprasadvadlamoodi1271 3 ปีที่แล้ว

    very nice video. thanks for this.

  • @scody311
    @scody311 4 หลายเดือนก่อน

    Fantastic!!!!

  • @xuxu4068
    @xuxu4068 3 ปีที่แล้ว

    Perfect. Thank you.

  • @pranjalmittal
    @pranjalmittal ปีที่แล้ว

    Really love the explanation! The video aside, I couldn't help but wonder if collaborative filtering based recommender systems that suggest content to people based on preferences of people similar to them, is one of key reasons why ideological polarity in general population is increasing on issues (such as in politics, but also beyond), because people get classified into a cluster based on similar but not the same interests, and as they see more of content in that cluster, they become even more "similar" or associative to that cluster/group they were originally somewhat but less similar to, assuming consuming content influences and creates bias in people along the lines (vector direction) of the content they consume, which I intuitively think is a fair assumption.

  • @tony0731
    @tony0731 ปีที่แล้ว

    Well explained!

  • @familienolte1501
    @familienolte1501 8 หลายเดือนก่อน

    I really liked the explanations. But is this concept superior to other cluster analysis methods such as AHC using euclidean distance for example? I mean euclidean distance is easier to understand that the cosine similarity. And for what do I need the expected rating? Wouldn't it be enough to find the most similar person and look for the highest rated film of that person, which my used person has not watched yet?

  • @ellos98
    @ellos98 4 ปีที่แล้ว +1

    incredible!!!

    • @venkatnetha8382
      @venkatnetha8382 4 ปีที่แล้ว

      For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
      payhip.com/b/ndY6
      You can download the sample pages so as to see the quality of the content.

  • @sabazainab1524
    @sabazainab1524 3 ปีที่แล้ว

    I wish you can add some content related to GANS as well.

  • @srikarsundram4633
    @srikarsundram4633 8 หลายเดือนก่อน

    Do you have content on content based filtering??

  • @LucasElliot-k8p
    @LucasElliot-k8p ปีที่แล้ว

    Hello, I have a question please. To get the predicted rating of User 1 for Item 4 (r1,4) Why did you multiply the similaritiy of S12 to the rating given by user 2 and S13 to the rating given by user 3. What do we call that formula or did you come up with it? What's the explanation behind it please? Also, what if the only available rating for item 4 is just the rating of user 2, can we still predict the rating that user 1 will give? Thank you so much, this is a very great video tutorial.

  • @MightyFrostDragon
    @MightyFrostDragon 3 ปีที่แล้ว

    Thank you so much, it was super useful

  • @omerahmaad
    @omerahmaad 2 หลายเดือนก่อน

    Very good content thanks

    • @ritvikmath
      @ritvikmath  2 หลายเดือนก่อน

      You're welcome

  • @trongnhantran3358
    @trongnhantran3358 ปีที่แล้ว

    Love it!!!

  • @zixuanchen4506
    @zixuanchen4506 ปีที่แล้ว

    If U1 and U3 are polar opposite, instead of bring the score up by weighted average, can we double down if scores by U2 and U3 are far apart? something like change 0.99*2+0.57*5 into 0.99*2+0.43*1?

  • @bastianlipka2406
    @bastianlipka2406 2 ปีที่แล้ว

    love it !

  • @kat.simplelife
    @kat.simplelife 2 ปีที่แล้ว

    Thank you for the precise explanation! It helps me understanding the recommendation system better. I have one question, where I'm just wondering how does latent factor fit into this?

  • @ayeshaayub3131
    @ayeshaayub3131 2 ปีที่แล้ว

    Can you explain pearson correlation co.efficient similirity measures

  • @Phil-oy2mr
    @Phil-oy2mr 4 ปีที่แล้ว

    A question on cosine distance- user 1 and 3 were quite opposite on our scale and had a similarly of 0.57, so nearly 0.6. This is not very close to 0, which would indicate a true polar opposite, right? Why were 2 users here not rated near 0? What case would be? Thanks!

    • @venkatnetha8382
      @venkatnetha8382 4 ปีที่แล้ว

      For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
      payhip.com/b/ndY6
      You can download the sample pages so as to see the quality of the content.

  • @asdfghjkl1297
    @asdfghjkl1297 หลายเดือนก่อน

    Thanks a lot

  • @ramonsantiago4573
    @ramonsantiago4573 3 ปีที่แล้ว

    This is great, but doesn't seem to work well for spares datasets. The one thing you can do is when predicting the rating you should only divide by the sum of similarities that have ratings, otherwise your rating will be much smaller than it should be.

  • @coldwinter1884
    @coldwinter1884 4 ปีที่แล้ว

    What order would you recommend me for watching your playlists?

    • @venkatnetha8382
      @venkatnetha8382 4 ปีที่แล้ว

      For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
      payhip.com/b/ndY6
      You can download the sample pages so as to see the quality of the content.

  • @AbhishekChandraShukla
    @AbhishekChandraShukla 8 หลายเดือนก่อน

    Is this user-based or item-based collaborative filtering?

  • @sakshamverma3114
    @sakshamverma3114 3 ปีที่แล้ว

    just love it.....

  • @shubhampandilwar8448
    @shubhampandilwar8448 4 ปีที่แล้ว

    Clearly explained. But I have some questions. Can we use users who liked(also unlike)
    and watched videos to recommend? How many times he has seen a particular video of a particular genre etc.(Generally, not just Netflix. ex - youtube)

    • @venkatnetha8382
      @venkatnetha8382 4 ปีที่แล้ว

      For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
      payhip.com/b/ndY6
      You can download the sample pages so as to see the quality of the content.

  • @ccuuttww
    @ccuuttww 4 ปีที่แล้ว +1

    what is next R-SVD?

    • @ccuuttww
      @ccuuttww 4 ปีที่แล้ว

      For alternative we can use NMF to fullfill those missing value

    • @venkatnetha8382
      @venkatnetha8382 4 ปีที่แล้ว

      For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
      payhip.com/b/ndY6
      You can download the sample pages so as to see the quality of the content.

  • @user-or7ji5hv8y
    @user-or7ji5hv8y 3 ปีที่แล้ว

    Has another method become more popular than collaborative filtering?

  • @gholamrezadar
    @gholamrezadar 6 หลายเดือนก่อน

    what if the similarities are negative??

  • @happyhippo379
    @happyhippo379 7 หลายเดือนก่อน

    👏

  • @rbedson8965
    @rbedson8965 3 ปีที่แล้ว

    is this user based CF or item based CF, as i see the cosine is used for item based approach but again data of user is taken in user based approach.
    Please clear this picture for me i am new to this course

    • @marathonour
      @marathonour 3 ปีที่แล้ว

      I also didn't get this point, it's great video overall, but I'm working on recomendation system and trying to figure out how svd solves this problem and should I use mult-vae instead or try content-based recsys with word2vec embeddings

  • @levimungai1846
    @levimungai1846 5 หลายเดือนก่อน

    please do a real project on this with actual code and explanation

  • @pratyush7987
    @pratyush7987 หลายเดือนก่อน

    HOLY DYUCK

  • @roykumuda
    @roykumuda 11 หลายเดือนก่อน

    There is clarity in your explanation. But , Is it possible for you to tune yourself into Indian accent than the american.

  • @lexihilton7136
    @lexihilton7136 2 ปีที่แล้ว

    You’re so handsome

  • @hughlysds5411
    @hughlysds5411 4 ปีที่แล้ว +2

    First to comment I guess

    • @matthewchunk3689
      @matthewchunk3689 4 ปีที่แล้ว

      your time to shine brotha

    • @venkatnetha8382
      @venkatnetha8382 4 ปีที่แล้ว

      For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
      payhip.com/b/ndY6
      You can download the sample pages so as to see the quality of the content.