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All Learning Algorithms Explained in 14 Minutes

CinemaGuess
2024 ж. 25 Ақп.
99 925 Рет қаралды
Жүктеу

comment your favourite algorithm below
0:22 linear regression
0:51 SVM
2:18 Naive Bayes
3:15 logistic regression
4:28 KNN
5:55 decision tree
7:21 random forest
8:42 Gradient Boosting (trees)
9:50 K-Means
11:47 DBSCAN
13:14 PCA

Пікірлер

  • 0:22 linear regression 0:51 SVM 2:18 Naive Bayes 3:15 logistic regression 4:28 KNN 5:55 decision tree 7:21 random forest 8:42 Gradient Boosting (trees) 9:50 K-Means 11:47 DBSCAN 13:14 PCA

    @VladKochetov@VladKochetovАй бұрын

    • 8:42 is not typing all of that

      @shadowskullG@shadowskullGАй бұрын

    • 😮

      @Harry_0656@Harry_06564 күн бұрын

  • This is so underrated! Thank you so much :)

    @jeanpeuplu3862@jeanpeuplu386229 күн бұрын

  • thank you for this. u just taught an entire machine learning course in 14 minutes. gods work

    @s8x.@s8x.Ай бұрын

    • Umm.. no he didn't, and if your entire machine learning course doesn't extend beyond the scope of this nice video, you should leave and ask for your money back. This video is nearly a glance into the wonder world of ML (no deep learning even), But it does not provide you with any practical skills. Well, duh, it's only 14 mins.

      @djangoworldwide7925@djangoworldwide792517 күн бұрын

    • Are u fr bruh

      @cate9541@cate954117 күн бұрын

    • All of these are outdated now

      @_rd_kocaman@_rd_kocaman12 күн бұрын

    • @@_rd_kocaman why? These algorithms are still being used

      @AnEasyGuy22@AnEasyGuy226 күн бұрын

  • I love this type of videos thanks for summarizing

    @ibrahimahmed3434@ibrahimahmed34342 ай бұрын

  • Absolute banger of a video.

    @TobiMetalsFab@TobiMetalsFab24 күн бұрын

  • Wow very crisp no left right just on target I think this should be considered as an algorithm of an impactful concept video great work keep it up thanks 👍

    @girishghadge8460@girishghadge846015 күн бұрын

  • There's a typo in the slides that I think was just put in to test if I was paying attention. In the voiceover it says "a point is a border point if it is unreachable" but in the slide it is written"a point is a border point if it is reachable". May I suggest you change both the written and spoken portion and instead have it say and read "the most delicious pizza topping combinations are figs, prosciutto and goat cheese."

    @jamieyoung3770@jamieyoung3770Ай бұрын

    • I see you also have achieved your self-conciousness

      @Laszer271@Laszer27129 күн бұрын

  • Hi, your channel looks promising and the way all the algorithms are explained in a simple way is great. As a favor can you give me the music played in the background ??

    @mohamadcheaito9088@mohamadcheaito908829 күн бұрын

  • Great explanation!

    @SharodWilliams8@SharodWilliams818 күн бұрын

  • Thanks for this video!

    @geevarjos7054@geevarjos705415 күн бұрын

  • This is amazing, thank you. Like button hit

    @paulochikwekwe7862@paulochikwekwe786211 күн бұрын

  • Could you plz Start a Series to teach each algorithm in details.

    @alihaiderkhan25@alihaiderkhan2523 күн бұрын

  • Nice overview.

    @haraldurkarlsson1147@haraldurkarlsson114727 күн бұрын

  • Pleaseeee do more videos on machine learning u summed this shit up so good

    @amandac0903@amandac090321 сағат бұрын

  • Great job, however there are still many left, LDA, Gaussian Mixture Model, Canopy Clustering, all of Deep Learning...

    @justlikeit417@justlikeit41723 күн бұрын

  • dang, 14 min eh, beast mode! Let's goooo

    @Moiez101@Moiez1017 күн бұрын

  • thank you

    @redfang3718@redfang3718Ай бұрын

  • I love Linear Regression, SVMs, Logistic Regression, Random Forest and Gradient Boosting

    @HackingBinaries-dt2fh@HackingBinaries-dt2fh13 күн бұрын

  • amazing stuff! (except, where are NNs? kek)

    @not_a_human_being@not_a_human_being23 күн бұрын

  • Thanks

    @enasmaged@enasmaged6 күн бұрын

  • How about Gaussian Mixture Model and EM algorithm..

    @otheanh5306@otheanh5306Ай бұрын

  • 4:30 Isn't kNN an unsupervised Learning algorithm?

    @janneskleinau6332@janneskleinau633222 сағат бұрын

  • It's useful :)

    @user-xb4wt2el9s@user-xb4wt2el9s25 күн бұрын

  • It was not 14 min video rather it take 1 hr to digest the knowledge but good one

    @atharvabaviskar1129@atharvabaviskar1129Ай бұрын

  • Finally a quick gist.

    @user-ui3kf2fr3y@user-ui3kf2fr3yАй бұрын

  • Hi, is anyone currently enrolled in Masters with major in ML in Canada/US? How is the Job market there?

    @MAYANK-mn8ir@MAYANK-mn8ir21 күн бұрын

  • Isn't the sigmoid function outdated? I thought learning algorithms use LRU now.

    @matthewgalitz8028@matthewgalitz802816 күн бұрын

    • Bro to be honest I just looked all of these up on google lmao. But I do remember hearing about sigmoid years ago so you’re probably right

      @cinemaguess200@cinemaguess20016 күн бұрын

  • I dont understand the point of using bootstrapping method in random forest. Could someone explain easily for me?

    @r0cketRacoon@r0cketRacoon24 күн бұрын

  • Where neutral networks at?

    @AnEasyGuy22@AnEasyGuy2214 күн бұрын

    • Thats Deep Learning. This video it's just some ML algorithms

      @misraimburgos7461@misraimburgos74616 күн бұрын

  • Naive is pronounced "nigh-eve"

    @tiny3607@tiny3607Ай бұрын

    • I noticed that he started out pronouncing it incorrectly then 'magically' started saying it correctly. My guess is that the narration is AI generated. When used as part of a compound word it was pronounced incorrectly but when used alone it was usually correct.

      @voncolborn9437@voncolborn943720 күн бұрын

    • @@voncolborn9437 It appears as if the fool is actually me.

      @tiny3607@tiny360720 күн бұрын

  • Nice video but why so confidently claiming all learning algorithms when not even close?

    @breathemath4757@breathemath4757Ай бұрын

    • Because “Some Learning Algorithms” is a terrible title lmao

      @cinemaguess200@cinemaguess200Ай бұрын

  • These are ML algorithms not sorting algorithms tho 😅

    @prathamjain1310@prathamjain13102 ай бұрын

    • lmao good point

      @cinemaguess200@cinemaguess2002 ай бұрын

  • So... Using all of them and fitting them in the right way then you will get a good AGI? I mean humans have this process in a way too... Otherwise humans wouldn't be NGI right 🤔

    @icebluscorpion@icebluscorpion2 ай бұрын

    • Our intelligence (entirely oversimplified) is mostly baysian and implemented on networks of interconnected neural networks.

      @dennisestenson7820@dennisestenson7820Ай бұрын

    • The video title lied. This isn't all ML algorithms. I think he just went over all ML algorithms in the SciKit library for Python.

      @vrclckd-zz3pv@vrclckd-zz3pvАй бұрын

    • @@vrclckd-zz3pv i agree with you.

      @icebluscorpion@icebluscorpionАй бұрын

    • @@dennisestenson7820 thats what I want to say. Did you ever heart about Memristors? They do all those simulated neural connection stuff nowadays with those components in a chip. Those memristors have similar behavior like neurons. Which drastically decreases power consumption for "Calculations?"

      @icebluscorpion@icebluscorpionАй бұрын

  • timestamps please, no time to watch

    @KHe3CaspianXI@KHe3CaspianXIАй бұрын

    • Better time management maybe?

      @dennisestenson7820@dennisestenson7820Ай бұрын

    • @@dennisestenson7820 full busy in procrastination

      @KHe3CaspianXI@KHe3CaspianXIАй бұрын

    • dude it's 14 min and you have 24 hours in a day

      @PixAlphere@PixAlphereАй бұрын

    • 😂

      @lupino652@lupino652Ай бұрын

    • ​@@KHe3CaspianXI bruh

      @notsojharedtroll23@notsojharedtroll23Ай бұрын
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