Master ML Papers without Losing Your Sh*t

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КОМЕНТАРІ • 63

  • @weekendwargamers
    @weekendwargamers 3 роки тому +18

    100% increase my level on reading ML papers 🧙🏼‍♂️

    • @NicholasRenotte
      @NicholasRenotte  3 роки тому +2

      You're a wizard Jonnny! Thanks so much guys!

  • @OopsCoca
    @OopsCoca 2 роки тому +5

    thank you, Nicholas! U just saved me from the pain of reading deep learning papers. Pls keep going on your AMAZING jobs.

  • @Saritm
    @Saritm 3 роки тому +11

    Thanks, Professor Renotte. Your effective but simple thinking astounds me.

  • @strategy_gal
    @strategy_gal 3 роки тому +4

    Great tips, Nicholas! Love how you broke down the steps and clearly explained how to do it.

    • @NicholasRenotte
      @NicholasRenotte  3 роки тому +1

      LILLIAN!!! Thanks sooo much!! You've got some awesome vids on your channel!!

    • @strategy_gal
      @strategy_gal 3 роки тому

      @@NicholasRenotte Thank you! Glad you appreciate it!

  • @alifiyabatterywala4481
    @alifiyabatterywala4481 3 роки тому +3

    please do a video on ML papers recommended for beginners

  • @muditrustagi5775
    @muditrustagi5775 3 роки тому +3

    this was a much needed video , thanks Nick!!

  • @joekerr5418
    @joekerr5418 3 роки тому +2

    This came just in time. Thanks!

  • @vikashchand.
    @vikashchand. 3 роки тому +10

    Yo! This video was a NEED!
    I recently tried reading an ML paper but I found myself lost half way in 🤦‍♂️😂
    Thanks! 🤘🔥

    • @NicholasRenotte
      @NicholasRenotte  3 роки тому +3

      Mannn, I started getting back into them hardcore over the last month and it was brutal!! Thanks for checking it out Vik!!!

  • @Burakyesilvlogs
    @Burakyesilvlogs 3 роки тому +4

    Thanks for the great videos dude!

  • @vaibhavsaran7124
    @vaibhavsaran7124 3 роки тому +3

    This was so much needed.

  • @marciovalverde5563
    @marciovalverde5563 3 роки тому +2

    OMG, it´s awsome ! will help me a lot with my researchs ! Thank you so much !!!!

  • @akankshasinha946
    @akankshasinha946 Рік тому

    Thank you so much for the insights & tips on mastering ML Paper! I love your workstation setup, can you please share the details about your setup dual screen, camera, table, laptop, etc.

  • @ameerazam3269
    @ameerazam3269 3 роки тому +3

    Again best ever …. It’s really amazing seems to be same as before coding more focus on theory ….cheers ….

    • @NicholasRenotte
      @NicholasRenotte  3 роки тому

      Agreed, implementation and testing makes it a ton easier!

  • @brendanhughes369
    @brendanhughes369 3 роки тому +3

    Your content really helps thanks.

  • @mikecooper8142
    @mikecooper8142 3 роки тому +1

    speaking of facenet paper, please make a video about triplet loss/siamese net/one shot learning!

    • @NicholasRenotte
      @NicholasRenotte  3 роки тому

      Happening as we speak, it's my stretch project for the week!

    • @mikecooper8142
      @mikecooper8142 3 роки тому +1

      that’s awesome. It’s part of my project so I would love to see your insights too!

  • @ashleysami1640
    @ashleysami1640 3 роки тому +2

    What brand is your incense stick?

  • @sharankalyan7
    @sharankalyan7 3 роки тому +2

    Wonderful video❤️. Will definitely try and follow 👍🏻

  • @NarutoUzumaki-lq7yk
    @NarutoUzumaki-lq7yk 3 роки тому +1

    @Nicholas , scikit-learn more useful than tensorflow or
    Scikit-learn is better for ML and tensorflow for DL?

    • @NicholasRenotte
      @NicholasRenotte  3 роки тому +1

      They both have their use cases, for simple ML problems I use sklearn most of the time for deep learning I use TF!

  • @Thegameplay2
    @Thegameplay2 3 роки тому +2

    This one is great mate!

  • @ronakttawde
    @ronakttawde 3 роки тому +1

    hey man... I have become big fan of yours. great video!!

  • @Burakyesilvlogs
    @Burakyesilvlogs 3 роки тому

    Can you also make a video on how to fine tune Bert to make model like keybert for keyword extraction?

  • @lebedev_michael
    @lebedev_michael 3 роки тому +2

    Thanks a lot)
    Respect ✊ from Russia)

  • @microgamawave
    @microgamawave 3 роки тому +2

    Please make a video about facial recognition in Python🙏

  • @trevorsatori
    @trevorsatori 3 роки тому +2

    This was A1. Thanks

  • @prakhars962
    @prakhars962 3 роки тому +1

    would you like to explore physics-informed machine learning in your future videos? For example, physics informed neural networks PINN, data assimilation or system identification. I am saying this because you won't find many videos on PINNs on UA-cam.

    • @NicholasRenotte
      @NicholasRenotte  3 роки тому

      Got a link to some research? Would love to take a look!

    • @prakhars962
      @prakhars962 3 роки тому

      @@NicholasRenotte I really appreciate the way you reply every single chat. This revolutionary paper started the trend of physics informed neural network in 2017.. github.com/maziarraissi/PINNs Ofcourse there are many more papers, but this is where it all started.

    • @prakhars962
      @prakhars962 3 роки тому +1

      @@NicholasRenotte Also, if you try to find some videos on youtube, you would find literally nothing useful at all. When I learnt PINN I had to go to stackoverflow everytime I'd problem.

  • @atanujana8119
    @atanujana8119 3 роки тому +1

    Sir pls create a video on mask detector using react js

  • @umarmahfudz4983
    @umarmahfudz4983 3 роки тому +1

    Great content mate

  • @prajwalvkadam
    @prajwalvkadam 3 роки тому +1

    Thanks a lot man!

  • @abhilashagoel4972
    @abhilashagoel4972 Рік тому

    very helpful.

  • @SpesMagisteriiGradus
    @SpesMagisteriiGradus 11 місяців тому

    thank you

  • @markusbuchholz3518
    @markusbuchholz3518 3 роки тому +5

    Thanks Nicholas for your recommendation. You are doing impressive and outstanding job! I do believe that your great community will be also impressed and apply your recommendations accordingly. We are very lucky the "paperwithcode" has been launched. All the papers are impressive but I do believe with quantum computers which probably will change a bit the "concept" of ML, AI and DL. We know you work in IBM and I think it will be awesome if your future videos will depict some ML project based on Qiskit. IBM makes remarkable work in quantum computer technology and probably it will be great also to approach this concept to others. IBM website is a rich source of information (outstanding) . Thank you for your effort. Have a nice day!

    • @NicholasRenotte
      @NicholasRenotte  3 роки тому +1

      Oh Markus, you are always on the ball. This a screenshot of my content list: imgur.com/29Jtd9o I've been talking to the Qiskit team :)

    • @markusbuchholz3518
      @markusbuchholz3518 3 роки тому +1

      ​@@NicholasRenotte Awesome. I do believe you once come in and will never go out. QC technology is not easy and as you know some part are still unknown but it is very exciting. For sure your contribution is essential.

  • @tsunamio7750
    @tsunamio7750 Рік тому +2

    I feel like I understand what I read. But it's always written in verbose and obtuse ways. Almost like they are trying to hide the pointlessness of their work or something.
    Mathematical proofs are hard when working ..

  • @trevorduncan9635
    @trevorduncan9635 Рік тому

    Best title ever hahaha

  • @CalmingRelaxation930
    @CalmingRelaxation930 3 роки тому

    Why you delete the commentaires about trading forex and crypto??

    • @NicholasRenotte
      @NicholasRenotte  3 роки тому +1

      The ones referencing what’s app? If those ones then think someone was impersonating me, reported them 🙃 others I haven’t deleted, might be getting stopped by YT’s comment filter.