Support Vector Machine (SVM) Basic Intuition- Part 1| Machine Learning




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In machine learning, support-vector machines are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis.
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Comment List

  • Krish Naik
    December 15, 2020

    is there any video on, "how to select the vector point in SVM"

  • Krish Naik
    December 15, 2020

    Great stuff Krish and would love you to share/gather more ML/AI Insights on https://www.headstrt.com/ (App to partner with/Work as the best On-Demand coaches/therapists/SMEs).

  • Krish Naik
    December 15, 2020

    Please explain how to train svm with TF-IDF in text analysis as there are thousands of word features in it.

  • Krish Naik
    December 15, 2020

    How is the depth defined between the data points when we convert 2D non linear seperable to 3D? As because due to depth only our marginal plane will be defined..

  • Krish Naik
    December 15, 2020

    wonderful explanation…from Pakistan

  • Krish Naik
    December 15, 2020

    So the support vectors are just those data points that cross the dot lines?

  • Krish Naik
    December 15, 2020

    please suggest a good study material.

  • Krish Naik
    December 15, 2020

    What about regression case pls ?. Thank you so much

  • Krish Naik
    December 15, 2020

    Thank you Krish Sir

  • Krish Naik
    December 15, 2020

    Please make video for ONE class SVM

  • Krish Naik
    December 15, 2020

    amazing explanation!

  • Krish Naik
    December 15, 2020

    Thank you kris😊😊

  • Krish Naik
    December 15, 2020

    sir you made me to thik ml may be i can do that
    i am a fullstack developer and i was really frustrated with the math behind ml but you made it
    learn bad instaractors and teachers from this guy my hommiiiiiiie
    thankyou sir

  • Krish Naik
    December 15, 2020

    Thank you 🙏

  • Krish Naik
    December 15, 2020

    Youtube king of ML 🤴✌

  • Krish Naik
    December 15, 2020

    I'm really saying sir. Your session is simply super & your language also interacted

  • Krish Naik
    December 15, 2020

    Hi, In the SVM model there is something called soft margin and you missed to talk about that concept in this tutorial. Hope you will do in future. Your videos are awesome. Keep up the good work Krish.

  • Krish Naik
    December 15, 2020

    superb explanation. Thanks

  • Krish Naik
    December 15, 2020

    hey! am alexander..i have seen most of your totorials. it is good and very nice explanation..plz post the tutorials related to ANN and different remote sensing data application by this machine learning algorithm

  • Krish Naik
    December 15, 2020

    sir please upoload remaining parts of svm and gradient boosting videos

  • Krish Naik
    December 15, 2020

    amazing!

  • Krish Naik
    December 15, 2020

    What is soft margin and hard margin?

  • Krish Naik
    December 15, 2020

    I just had to pause the video and thank you for your wonderful teaching.. really cant thank you enough

  • Krish Naik
    December 15, 2020

    Best explanation !! thanks a lot

  • Krish Naik
    December 15, 2020

    This is one of the best explanations I have seen !

  • Krish Naik
    December 15, 2020

    God send. Thank you so much sir. Charan sparsh.

  • Krish Naik
    December 15, 2020

    Technically, SVM kernel does not transform data into lower dimension. There exist a kernel trick, seemingly complex but simple concept behind it.

  • Krish Naik
    December 15, 2020

    You are a legend, bro!

  • Krish Naik
    December 15, 2020

    great! thanks.

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