It is so crazy how relevant these videos have been for me at work, where I'm just starting to do ML. I needed to group my data in order to exclude outliers, and you had published the K-means clustering video the day before. Next, I needed to decide if a CNN was the right approach to my problem, and the CNN video had been published that morning. I then was told to look into using PCA for feature visualization and your Dimensionality Reduction video came out the next day. It became clear that an RNN was the right solution for my next assignment and you posted that video 10 MINS BEFORE I STARTED SEARCHING! Yesterday we were going deeper into theory and I was told to read up on frequentist vs bayesian probabilities. And now you post this. This is absolutely insane, especially the timing. I'm a little freaked out by it, nice job Siraj.

Well that escalated quickly....

This is all I expect from a quality movie production: Great views, dramatic music, accurate scientific references and of course romance :D

8:11 woaah😂 my neural networks cud not see that coming. i love ur vids, keep em coming

Awesome video Siraj! Was asked to try some probabilistic models at work and turned straight to your videos!

I’m not even halfway through this video and I already love it. Don’t stop!

Wow you've been really active this past week. Thanks, your vids are the best!

Thanks for the runner-up title. And nice work Hammad.

"Grabs your glocks when you see Lindley, call the cops when you see Lindley" LOL!

that aesop rock instrumental caught me off guard!! thanks for the video, well explained!!

Thank you Sir. AJ for spreading love for Data Science .

I don't get the example given at 3:30 the info given are probability of board breaks P(B)=0.3 probability of ride crash P(A)=0.5 at 3:51 suddenly P(B|A) P(A) = 1x0.06 ?? how do you get the values of P(B|A) and why P(A) suddenly becomes 0.06?

Mr Siraj, you are a Master in the Art of probability theory, thank you for making it look simple

WHATTTTT!!! Really good video and your way of teach

your video is so entertaining... easily the best in youtube and anywhere else can find. Except for different fps going quite fast

One of your best series on youtube

how do you even get P(B|A) as 1? there's only 2 probabilities P(B) and P(A)(How did P(A) become 0.06? I thought it was 0.5) mentioned with no proper assumptions that can be made, since just because the ride crashes, it doesn't automatically mean that the board will break too(a high probability maybe). Am I trying this wrong? Can someone answer this question?

what did i see at 8.11??

Can you please recommend a software for an epidemiologist attempting multilevel mediation analyses in structural equation modeling context with categorical observed variables and outcomes

Hey hey hey I didn't see that coming. I was watching you in front of my dad... He smiled!!!!!!

@Siraj Raval What are the problem in the current AI models & hot topics in AI acc. to u? Can u suggest any abstract topic for research?

Want to make a neural network that converts fiction books to moviescripts. And then based on the character descriptions in the book find tge best actor in a db. And based on the information in the book find good filming locations. Im very new to AI and dont know anything. Is this possible with AI? Should I train on 3 different datasets and how? And what NN should I use to do all of that at the same time?

Thank you so much. You're amazing

I'm proud of you siraj! That kiss was awesome! Make'em feel the Desi manhood!

Siraj , which pre knowledge should i have to understand your videos , i fall in love with them but i can't understand

You are just awesome, Siraj :)

Hi Siraj, Thank you for sharing all this amazing information with us. I didn't know anything about programming, data science and all these mathematics but somehow I understand and implement 20 - 50 % of your work. Will get better with more practice. Q. I am thinking about building a simple feed forward NN with few hidden layers for Intrusion detection using big datasets like KDD cup 99, NSL KDD (I know old but good to get started, I think not sure though). Please, provide me with some idea about how can I do this. As data set is large and contains symbolic features, I am not sure about can I use it. ? What's unique I can do in this? I am a super beginner, so in indeed of help. Thanks again. Love your motivation, energy and style of course.

Based on bayes theorem, we could then scan a stocks chart, compute the probability of for exemple going up 2% in the next n minutes to try to predict when to buy, and later, compute the probability of the end of the pump know how much it already went up or how much volume was sold or some other parameters. Right ?

thanks for the energy

Can u tell me what happend if i choose a box and put down a coin what probabitlty come .if There are infinite box in which one box have one coin what chance u pridict. What happed if divided both the event

what does the triangular sign mean in probability eg( A TRIANGULAR SIGN B)

at 5:10, where is the denominator term ? are we considering P(x') to be 1 ? If so, why ?

Hey Siraj (or anyone) - could you tell me what visualization tool you are using to create the animated cartoon. It starts around the first minute into the video describing the coin flip. Much appreciated!

thank you for Probability Theory video

Keep up the great work Siraj! Some feedback on this video: - Great description of random variables, probabilities, and naive bayes application. But I think you could of spent more time on Bayes rule intuition. - At 1:59 it would of been good to mention that die roll and coin flip are independent since you use P(A and B) = P(A)P(B). Otherwise someone may get confused when they go to 2:29 where you have P(B|A) = P(A and B)/P(A) - At 2:11 I am not sure what assumptions you are referring to in the coin and die example - At 2:36 you say "conditional probability of A given B, but show bayes rule for Pr(B|A) - At 2:51 you could of mentioned difference between "Likelihood" and "Probability". That is probability refers to anticipating events that have not occurred (Prior probability Pr(E-1)), and likelihood is a measure of how much we trust the evidence given our prior (this is Pr(E-2|E-1)) - At 3:34 when finding Pr(Ride Crash|Wood Board Breaks), you say Pr(Board Break) = 0.3, Pr(Ride Crash) = 0.5, it would also be nice to just ask as a question "What is Pr(Wood Board Breaks|Ride Crash) = ?" before giving the answer. Also when you give the answer at 3:52 of 1*0.06/0.3, I think it should be 1*0.5/0.3 (I know this is more than 1, maybe you got to change the priors)? - At 5:05 you mentions that independence is a strong assumption, but it still works. When I was reading online from one the links your description, a good intuition mentioned this is that even though the probabilities you get from Bayes are mostly wrong, the rankings when you compare across classes is pretty good, so we can still do classification. I think you could of mentioned something along those lines. - At 6:00 you mention the denominator in Bayes can ignored when comparing probabilities. You have a bunch of space on the top where you could of showed this idea.

oh this theorem has exploded my brain.

Greetings Siraj.. Great Videos -learning appreciated. Question When will ai_ML create ML programs for itself? to solve a question like this one/ For example Hey "ai" Siraj is global warming a problem? If so what is the most cost effective way to solve it in ten years.? Thanks

i have benefited a lot from some of your videos as you are able to explain these complex concepts in fun and intuitive ways but i'd like to suggest keeping these videos relevant to your content and as you may realize from some comments here, some of your fans are below 13 as well. Enjoy Amsterdam!

Am I the only one who noticed that giant peanut on a roller coaster wearing a red cape? Why don't I see anyone talking about it?

3:52 how do u get the value of P(BlA)=1

I love Bayes Theorem

This dude is awesome.

Super Giant Peanut (oh, I get it!) vacations on a well-earned roller coaster ride--now that's genius!

the laplance is there so that the spam would never consider one feature to be flat 0 as the training proceeds, since were multiplying, 0 times some number is 0. if a feature from the start is 0 it will end up as 0 no matter how many rows of data you train in there

"Do or Do Not. There is no Try." -Yoda.

Can't all teaching videos be like that? I don't need to switch between sources of entertainment/info to keep me attentive!

Hey siraj! love your videod. just wanted to know if you can create an algo for stock tradig Using a new platform Call Quantopia.

Siraj I saw you in Vondelpark today! You were biking very fast (like a true Amsterdammer) so sadly couldn't say high :(

Love you siraj I like your videos

What's with the CLA hate?

which Playlist should i watch first , do i start with python then math of itelligence then machine learning ?

you are just awsome!!!! fan of you....

3:40 but you didn't explain where you got that 0.3 and 0.5 probabilities from :(

nice explanation keep it up

hahaha what the!! You rock dude!!

Hello Siraj, it would be great if you leave some blank space at the bottom of each video for subtitles. It usually overlaps with content. Great work!

Sentiment Analysis using Bayes classifier github.com/Subarno/SentimentAnalysisJava Later Android app implementation of the code github.com/Suvam-Mondal/Sentiment-Analysis-Project

siraj , when did you started programming ?

Man, I loved this video, but the funny interruptions sometimes take off the focus and concentration😉.... but ok, I loved to learn more here ❤❤👏👏😊

Cant classify whether sweet or lame, need more math!

Hi. can you explain in calculating way ? I mean as a student with small examples ..

At 1.49 isn’t it ‘given the die lands on 4 what is the probability of the coin to lands on head’ Not the other way around

Good afternoon sir 😁 is this the Probability theory proposed by Pierre de Fermat and Blaise Pascal?

Usaually I watch in 2x but I had to watch this in .25x, Thanks brotha

I felt like I learned how to put words together to make spam, that gets through the spam algorithm

why P(B) was 0.06 and not 0.5? at 3:42

Siraj, I have a questions because I'm tired of losing to my friends in fantasy sports. Can Python and machine learning be used to predict possible outcomes of a given player each day?(ie.. basketball or baseball) After watching a lot of your videos I believe this could be accomplished through machine learning but I'm unsure where to start. Can you help?

at 3:54 did you ever give us P(A), independent probability of ride crashing?

What happened at 8:12?

So What is wrong with Numenta

def train: ^ SyntaxError: invalid syntax Why code is showing this error?

@8:11 whaat.

Why don't you have a million subscribers yet? You are really awesome at explaining things and have great personality and even practical gesticulations.

Duuude, like for the Aesop Rock!

Was that Aesop Rock none shall pass playing?

How can i contact u

Siraj, why don't you use python 3.bla?

8:14 the most awkward moment while watching and studying all his material videos

What is Numenta?

What makes you think that Numenta has got it wrong, Compared to the data inefficient model of deep learning and reinforcement (Imagine humans requiring millions of example to learn) their solution is not only great it also makes more sense.

Why are there no comments about the Massive peanut on the rollercoaster? Great vid again Siraj ✌️

Hi Siraj! :D I'm a big Brazilian fan, I'm 16 and if everything run well, in the future I probably will be a software engineer. I love technology, and I have questions for you... How was your high school? Pls, tell me about your routine in the high school Did you studied a lot? Did you like math and physics? Well, actually I am study for a Brazilian test that will give me a vacancy in college. But the probably is -> I'm not so good with math hahaha I'm a little afraid Thank you very much for be a mentor for me! I hope to be as good as you in the future bro! Ps: Sorry about my bad English Dx

This guy fucks!

each of the scenes you make with the girl is worth an oscar

Does Super Giant Peanut enjoying a vacation on a thrilling ride mean what I think it means, or do I need to get my mind out of the gutter?

satisfied:)

Siraj Raval is God!

Siraj, how to share my code for the weekly challenge. Thanks for doing such an amazing work.

Big Joint Probability :)

what do you have against numenta?

Can you make a meme less version of Each Video. :)

It's the most romantic one.... I am guessing what could be the probability of what just i saw at 8:11.

Dank

Aesop Rock!

Great video. Shout out Khan academy @ 1:13

MAN! i was watching it in the library, and the librarian saw that kissing scene and almost removed me out...LOL... The video's great anyways

The memes i just cant-

Aesop Rock 😂👌👌👌

Siraj, is this your normal speed of talking or you speed it up during editing?

L.A. Noire, whaaaaaaaa