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

@shadowskullG

Ай бұрын

8:42 is not typing all of that

@Harry_0656

8 күн бұрын

😮

When learning anything new, it's nice to get a lay of the land before you start or else you just end up in rabbit holes with no sense of where you're going. This is a great overview!

This is so underrated! Thank you so much :)

Absolute banger of a video.

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

@djangoworldwide7925

21 күн 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.

@cate9541

21 күн бұрын

Are u fr bruh

@_rd_kocaman

16 күн бұрын

All of these are outdated now

@AnEasyGuy22

10 күн бұрын

@@_rd_kocaman why? These algorithms are still being used

I love this type of videos thanks for summarizing

great introduction for anyone new to ML

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 👍

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."

@Laszer271

Ай бұрын

I see you also have achieved your self-conciousness

Thanks for this video!

Great explanation!

This is amazing, thank you. Like button hit

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 ??

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

Nice overview.

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

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

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

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

thank you

Thanks

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

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

Finally a quick gist.

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

How about Gaussian Mixture Model and EM algorithm..

It's useful :)

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

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

Isn't the sigmoid function outdated?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

@cinemaguess200

20 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

Where neutral networks at?

@misraimburgos7461

10 күн бұрын

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

Naive is pronounced "nigh-eve"

@voncolborn9437

24 күн 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.

@tiny3607

23 күн бұрын

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

@canbeexplained

3 күн бұрын

haha you actually think it's AI@@voncolborn9437

@cinemaguess200

2 күн бұрын

calling me ai generated is crazy bro

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

@cinemaguess200

Ай бұрын

Because “Some Learning Algorithms” is a terrible title lmao

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 🤔

@dennisestenson7820

Ай бұрын

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

@vrclckd-zz3pv

Ай 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.

@icebluscorpion

Ай бұрын

@@vrclckd-zz3pv i agree with you.

@icebluscorpion

Ай 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?"

These are ML algorithms not sorting algorithms tho 😅

@cinemaguess200

2 ай бұрын

lmao good point

ну видно что чубз не из профессуры. читает то шо сам не знает

timestamps please, no time to watch

@dennisestenson7820

Ай бұрын

Better time management maybe?

@KHe3CaspianXI

Ай бұрын

@@dennisestenson7820 full busy in procrastination

@PixAlphere

Ай бұрын

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

@lupino652

Ай бұрын

😂

@notsojharedtroll23

Ай бұрын

​@@KHe3CaspianXI bruh