Instance-Based Vs Model-Based Learning | Types of Machine Learning

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  • Опубліковано 27 тра 2024
  • The Machine Learning systems which are categorized as instance-based learning are the systems that learn the training examples by heart and then generalize to new instances based on some similarity measure. It is called instance-based because it builds the hypotheses from the training instances. It is also known as memory-based learning or lazy learning. The time complexity of this algorithm depends upon the size of training data. The worst-case time complexity of this algorithm is O (n), where n is the number of training instances.
    A system is called model-based when it learns from the data and creates a model, which has some parameters and it predicts the output by using this data trained model.
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    ⌚Time Stamps⌚
    00:00 - Intro
    00:50 - Instance vs Model Based Learning
    03:00 - Instance based Learning
    07:45 - Model based Learning
    11:20 - Differences
    16:30 - Outro

КОМЕНТАРІ • 66

  • @adityashinde9040
    @adityashinde9040 2 роки тому +21

    "because India hai, exam to crack karna hi padega" is the highlighted line of this Video....!!

  • @maniaccoder2678
    @maniaccoder2678 3 роки тому +19

    Sir apaka explanation, sidha khopari me gus jata hain, Vah guruji vah

  • @GouravRPandey
    @GouravRPandey Місяць тому +5

    @CampusX can you please share the notes of the 100 days ML course,

  • @akashpakkan7803
    @akashpakkan7803 2 роки тому +15

    You are a gem for DS learners.

  • @JainismWithUnnati
    @JainismWithUnnati Місяць тому +2

    A different pov on teaching ml in this manner❤

  • @akash.deblanq
    @akash.deblanq 2 роки тому +13

    Man your explanation is on point. Excited to get into the maths. I'm hooked, binge watching. Amazing job done.

  • @PrithaMajumder
    @PrithaMajumder 16 днів тому +1

    Sir, Thanks a lot for This Amazing Lecture
    Lecture - 6 Completed

  • @pankajrawat8650
    @pankajrawat8650 2 роки тому +7

    I am in for the whole series...great explanation 👍

  • @rohitekka2674
    @rohitekka2674 2 роки тому +4

    As usual, spot on with content and explanation. Thanks alot and now on to the next one!

  • @kameshyuvraj7969
    @kameshyuvraj7969 2 роки тому

    perfect explanation bro no one explain complexities and pros simple they explain algos and they are used for that thats it but u gave confident level bro thanks alot

  • @urvashigoswami3943
    @urvashigoswami3943 2 роки тому

    Thank you so much for this playlist

  • @mahjabinbintemannan8924
    @mahjabinbintemannan8924 4 місяці тому

    Thanks campusx for simplifying the concepts so beautifully.

  • @Rohit-fz4vd
    @Rohit-fz4vd 9 днів тому

    great explanation...thankyou sir

  • @jatinnandwani6678
    @jatinnandwani6678 Рік тому +1

    Thanks so much
    This is quite helpful
    Excellent simply excellent

  • @resieasy
    @resieasy Рік тому +1

    Very good explanation sir 💯💯

  • @Amitesh.Shrivastava
    @Amitesh.Shrivastava Рік тому

    Awesome explaination

  • @vipnirala
    @vipnirala Рік тому

    Beautifully explained

  • @madankhatri7727
    @madankhatri7727 8 місяців тому

    Very good explanation sir

  • @pocof3gt309
    @pocof3gt309 Рік тому

    Great teaching.... ❤❤❤❤❤

  • @zkhan2023
    @zkhan2023 3 роки тому

    Bundle of thanks sir

  • @lego-xq4fh
    @lego-xq4fh 2 роки тому +2

    Ram Ram ji 🙏💜🌟
    You da best teacher out there. Love you Sir.

  • @shaikahmedfareed3757
    @shaikahmedfareed3757 11 місяців тому

    u r just awesome sir

  • @computerscience7078
    @computerscience7078 11 місяців тому

    Thank you so much sir 🙏 ☺️

  • @bitrish34
    @bitrish34 3 роки тому +1

    Please provide the topics which will be covered in this playlist.

  • @minhazuddin722
    @minhazuddin722 Рік тому +3

    I think we also called them as parametric (model based) and non-parametric (instance based).

  • @SanjeevKumar-nc2rt
    @SanjeevKumar-nc2rt 2 роки тому

    This is some good stuff.

  • @narendraparmar1631
    @narendraparmar1631 6 місяців тому

    Thanks

  • @jatinnandwani6678
    @jatinnandwani6678 Рік тому

    Thanks!

  • @ranjeetkumar2709
    @ranjeetkumar2709 Рік тому

    omg !! what a lovely explanation...but to my point can i say instance-based learning as a model free learning....

  • @myvloginsight2468
    @myvloginsight2468 Місяць тому

    thanks sir

  • @anahi_kr8235
    @anahi_kr8235 2 роки тому

    Tqsm sir

  • @Up_74_LifeLensAdventures
    @Up_74_LifeLensAdventures 3 місяці тому

    Thank You ,All clear ❤

  • @harshitkharbanda8535
    @harshitkharbanda8535 2 роки тому +1

    made ML easy ✌️💕

  • @taruchitgoyal3735
    @taruchitgoyal3735 3 місяці тому

    Hello Sir,
    Your tutorials are very helpful to understand.
    Based on some prior knowledge, want to understand: -
    Can we call Instance based learning as Discriminative models and Model based learning as Generative models?
    Thank you
    Taruchit

  • @pocof3gt309
    @pocof3gt309 Рік тому

    Lovely person😊😊😊❤❤❤

  • @Aniketjagtap108
    @Aniketjagtap108 Рік тому

    One doubt. This series can be said as a data science series right ? Like it’s 100 days of machine learning but how different is data science vs machine learning ???

  • @sandipansarkar9211
    @sandipansarkar9211 Рік тому

    finished watching

  • @samroxta8351
    @samroxta8351 Рік тому

    Sir kya isss playlist jntuh sem exams k kaam aaayegi........3-2 sem mein ML hai sir......isliye.......

  • @krishnakanthmacherla4431
    @krishnakanthmacherla4431 2 роки тому

    Day 6 done

  • @lakhankumawat5289
    @lakhankumawat5289 2 роки тому

    Best video till now on this topic..🙌
    But I didn't see any video on SVM?

    • @campusx-official
      @campusx-official  2 роки тому +1

      ua-cam.com/video/ugTxMLjLS8M/v-deo.html&ab_channel=CampusX

  • @rameshjoshi2485
    @rameshjoshi2485 5 місяців тому +1

    Moving to day 7

  • @muskanchhabria3126
    @muskanchhabria3126 8 місяців тому

    In Model based how can we handle outliers?

  • @pocof3gt309
    @pocof3gt309 Рік тому

    Applause👏👏👏👏👏👏👏👏

  • @neelsoni13062
    @neelsoni13062 28 днів тому

    my first ml project is based on instance based....

  • @delusional_being
    @delusional_being Рік тому

    best explanation with best content😊

  • @Star-xk5jp
    @Star-xk5jp 4 місяці тому +1

    day1:date :9/2/24

  • @PriyanshuSingh-kp2sj
    @PriyanshuSingh-kp2sj 2 місяці тому

    please provide notes.

  • @MRAgundli
    @MRAgundli 2 місяці тому

    done

  • @aliemad4390
    @aliemad4390 Рік тому

    well, are you speaking English here or Indian language?
    you were good but I couldn't understand what are you saying. anyway, thank you

  • @ankitchakraborty1126
    @ankitchakraborty1126 Рік тому

    Day 6: 18.04.2023

  • @Daniel-fk9lu
    @Daniel-fk9lu Рік тому

    Dekh raha hai Binod, kya sahi tareke se padha raha hai

  • @arman_shekh97
    @arman_shekh97 3 роки тому

    Sir kya machine learning me fresher ko job milta hai
    Pls tell me

  • @neelsoni13062
    @neelsoni13062 28 днів тому

    Worst Example - CGPA/Placement
    sir pls not promote cgpa, iq and placement....

  • @CricketNews-bo6pn
    @CricketNews-bo6pn 10 місяців тому

    Placement iq laga rkha hai dimag kharab ho rha placement sun ke

    • @CricketNews-bo6pn
      @CricketNews-bo6pn 10 місяців тому

      Nhi dekhonga ab videos tumhari karwala placement

  • @RaoSachinYadav1
    @RaoSachinYadav1 2 роки тому

    Your speaking is out standing and also knowledge
    your playlist is very good manager but some key point are Ex Notes and handwriting work is very low in your case
    and Now day's ML is coming 700 Collages In AKTU as a specalizations so your Subscripe in growing in same day's I guess

  • @coderlearnerentrepreneur1024

    model based learning is just like
    let a = 5;
    a > 5 ? console.log('yes'):console.log('no')

  • @amjadiqbal8653
    @amjadiqbal8653 3 роки тому

    thank you, sir
    sir please your email

  • @hashirtariq734
    @hashirtariq734 6 місяців тому

    Man your explanation is on point. Excited to get into the maths. I'm hooked, binge watching. Amazing job done.