What is Machine Learning ? A.I., Models, Algorithm and Learning Explained

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  • เผยแพร่เมื่อ 13 มิ.ย. 2024
  • In this video, we go over what Machine Learning is and how it works within the Artificial Intelligence framework. We’ll review the Machine Learning model, learning methods and the algorithms used for different use cases.
    A.I. vs Machine Learning vs Deep Networks 0:42
    Machine Learning Overview 1:18
    Machine Learning Model 1:45
    Supervised Learning 2:15
    Unsupervised Learning 2:40
    Semi-Supervised Learning 3:09
    Reinforcement Learning 3:27
    Machine Learning Formula 4:05
    Classification Algorithm 4:40
    Clustering Algorithm 5:40
    Recommendation Algorithm 6:43
    Regression Algorithm 7:18
    Dimensionality Reduction 8:17
    Machine Learning Summary 9:27
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ความคิดเห็น • 22

  • @meliois3910
    @meliois3910 3 ปีที่แล้ว +7

    Excellent breakdown, thank you so much!

  • @bwogi
    @bwogi 3 ปีที่แล้ว +3

    Many thanks CISO

  • @dp5929
    @dp5929 3 ปีที่แล้ว +3

    Great content, keep it up!

  • @vedkay5426
    @vedkay5426 2 ปีที่แล้ว

    Yep subbed. Very well presented and explained. Especially enjoyed the OSINT videos.

  • @anirbansarkar6306
    @anirbansarkar6306 3 ปีที่แล้ว +3

    This was a super informative video... Thank you so for such useful content
    Please do come up with such contents more where you merge cybersecurity with machine learning

  • @ayushdash5020
    @ayushdash5020 ปีที่แล้ว

    Thank you for making this video. I found it very helpful❤

  • @hellototech
    @hellototech ปีที่แล้ว

    Great video, liked subbed and saved in playlist

  • @TheClubPlazma
    @TheClubPlazma 3 ปีที่แล้ว +1

    Hey Man, you have a great channel and quality content don't give up it will work. Probably an intelligent person like you is busy with other activities.

  • @punditgi
    @punditgi 2 ปีที่แล้ว +1

    Love the video! 💖

  • @ramik911
    @ramik911 3 ปีที่แล้ว

    Nice Explanation, thank you, got confused between (Recommendation and Regression algorithms), as both using past data.

  • @cesarmella8062
    @cesarmella8062 ปีที่แล้ว

    best explanation ever! . thanks.

  • @Anonymous-gr7lg
    @Anonymous-gr7lg ปีที่แล้ว

    what a great explanation Many thanks to you >

  • @beritahsammy7792
    @beritahsammy7792 ปีที่แล้ว

    excellent content

  • @breonix4413
    @breonix4413 3 ปีที่แล้ว

    To the point, thank you.

  • @vondelmahon9402
    @vondelmahon9402 10 หลายเดือนก่อน

    Well done

  • @moldirkazbek2011
    @moldirkazbek2011 ปีที่แล้ว

    that is great. I like it!!)

  • @TomVega
    @TomVega 2 ปีที่แล้ว

    I would pay for a color printout of this excellent presentation for my own personal reference. Well done.

  • @sandipansarkar9211
    @sandipansarkar9211 ปีที่แล้ว

    finished watching

  • @deeplybrown
    @deeplybrown 2 ปีที่แล้ว

    So does this mean that we've been misusing the term "algorithm" this entire time in common parlance? For example, when we refer to the "TH-cam algorithm" that refines video recommendations, do we really mean to say the "TH-cam recommendations model" since it's really the model that's running and refining itself? Just trying to wrap my head around the difference.

  • @sanjayprasad7751
    @sanjayprasad7751 ปีที่แล้ว

    Regression analysis used in unsupervised machine learning ???

  • @alexmathews6387
    @alexmathews6387 3 ปีที่แล้ว

    have you changed channels? or platforms? no new content :(