Great video as always but just a clarification: You don’t need logistic regression to determine if a tweet from Kanye makes sense... That’s a constant with always the same value of 0.
Hey Siraj, I just wanted to tell you that you're awesome! I'm a psychology student but I'm currently writing my thesis on CNNs. Your Videos helped me a lot to understand the subject matter intuitively, despite the fact that I don't have a strong math background.
Omg I just spent the last 2 weeks at my internship trudging through logistic regression articles online to build a financial risk scorecard model. Where were youuuu. At least I got a great review out of this thanks for the video!
Nice vid. We used multinomial logistic regression models at work for our IFRS9 models to model probabilities of customers moving through different credit states.
Thank you Siraj! I was looking for a best model to use for Sentiment Analysis and found your video very helpful. I just subscribed and hit that bell notification.
Hello Siraj,i love all of your video but please improve by put a subtitles because sometimes it is more better to understand.I hope u notice my comment😊🙏
Nice one! Btw you never notice my comments although I've been watching your vids for a long time. You're also one of my favourite youtubers. Quite a busy man haha.
Siraj, could you do a video on SINGLE HIDDEN LAYER neural networks? they are extremely useful for mechanical engineering systems. used for aerospace vehicles, missiles, robotics simulations and more. please let me know!
I really thank you and love your work siraj, but you could mention the origin of your slides, from the stanford ml courses of professor Andrew NG. Keep it up and thank you again for your work.
Siraj, could be binary logistic regression a good start to get my feet wet on ML? Looks simpler to me than the others, or you just explain it good haha. I'm in the door to get started I just dont know where, but sentiment analysis looks fun for a pet project and to dive in.
hey, siraj.. I love your videos on machine learning and AI stuff. you keep me motivated to learn the stuff..Here is a small request for you, that day you did a live kaggle challenge please do more kaggle challenges in future (1 in a week if possible) especially for all those who are newbies to ML and data Science ..Explaining 1.how to tackle with the data set 2. approach to applying algorithms to get the required answers...etc I think we all will love that live stream for sure...thanks .. .ONE OF YOUR BIGGEST FAN AND DISCIPLE
great video .... will be waiting for the video on multi class classification....as i get very confused while choosing a algorithm for multi class classification.....this (don't choose SVM they are fu*k*ng slow) thanks a lot siraj...keep bringing videos like
I am really dazzled by the code you have put in .. can we use the function of Logistic regression from sci-kit learn instead of writing a manual code ??
Siraj, When you show functions or complex formulas, like at 5:25 or 9:16, is that something you can understand easily, like you're reading a sentence? I like how you lead us through the equation ~5:00, but I wonder if it's always that straightforward to you.
Hello Siraj, Please help me on how to study computer vision from scratch, like you explained about studying machine learning. Please make a video or reply me with authentic link to refer. Regards,
This is not true, since our predictions line should pass through the point y = 0.5, which is the intersection between yellow line and green line (because it was the mean of y in [0,1]). The outlier just make the line rotate around the point!! If you want, you can write the code to show it, but if i was wrong, show me the data :p
hey Siraj why don't you follow this en.wikipedia.org/wiki/Outline_of_machine_learning Wikipedia page content in this page there are nearly all of algorithms of ML. can you please explain them or do your best to cover the most of it? like i am confused about the types of Decision trees (id3, info gain ... etc) which should to be used and why it's math make sense .... it would be very helpful thanks
I think some of the slides are from the course of Machine Learning by Andrew Ng
I remember my those days when I was doing so much damn hard work to learn such an easy but important topic for a beginner, and now, I can teach it.
Same....
Great video as always but just a clarification: You don’t need logistic regression to determine if a tweet from Kanye makes sense...
That’s a constant with always the same value of 0.
Dude, I love your videos, Grammy or Oscar awards should be given for your videos.
U r the only best source for dl and ml on the planet
Hey Siraj,
I just wanted to tell you that you're awesome! I'm a psychology student but I'm currently writing my thesis on CNNs. Your Videos helped me a lot to understand the subject matter intuitively, despite the fact that I don't have a strong math background.
Omg I just spent the last 2 weeks at my internship trudging through logistic regression articles online to build a financial risk scorecard model. Where were youuuu.
At least I got a great review out of this thanks for the video!
Nice vid. We used multinomial logistic regression models at work for our IFRS9 models to model probabilities of customers moving through different credit states.
*U made that very basic topic a very interesting one*
From Greece, you are welcome
Time to go to sleep, it’s 3:26 AM
*Siraj uploads a new video*
Well damn. I will going to bed at 3:37
megathai Totally!
My life.
Awesome and much needed video, Now waiting for multi-class classification using logistic regression..... Keep it up Siraj.... You are amazing
I have started learning machine learning so since i have practiced many things ,i loved this video of yours because i understood everything so well 😂
Thank you Siraj! I was looking for a best model to use for Sentiment Analysis and found your video very helpful. I just subscribed and hit that bell notification.
The rap wasn't so good Siraj. "Low error, pop champagne" is still the best :D
Jokes aside, always learnt a lot from you. Can't thank you enough.
a bad rap song is still a rap song :D
Hello Siraj,i love all of your video but please improve by put a subtitles because sometimes it is more better to understand.I hope u notice my comment😊🙏
Hi Siraj, if you can, please enable TH-cam's automatic CC. Thanks a lot.
Awesome video, good idea to return to the basics but with a different and interesting application.
Nice one! Btw you never notice my comments although I've been watching your vids for a long time. You're also one of my favourite youtubers. Quite a busy man haha.
Man's educating us while roasting Kanye
Love you brother, which framework are you using for web application ??
I see those Andrew Ng screenshots!
What's the advantage if we are going to use scikitlearn
Thank you for this awesome video
Awesome dude.. And u look so funny when i listen u raps in 3x... 😂 😂 😂 Keep it up...
Siraj, could you do a video on SINGLE HIDDEN LAYER neural networks? they are extremely useful for mechanical engineering systems. used for aerospace vehicles, missiles, robotics simulations and more. please let me know!
What's the next upcoming course of school of AI..and how do we register
He is making it a non-profit and having it based on individual local chapters
I really thank you and love your work siraj, but you could mention the origin of your slides, from the stanford ml courses of professor Andrew NG.
Keep it up and thank you again for your work.
U should make a video on Spiking Neural Networks.
Siraj, could be binary logistic regression a good start to get my feet wet on ML? Looks simpler to me than the others, or you just explain it good haha. I'm in the door to get started I just dont know where, but sentiment analysis looks fun for a pet project and to dive in.
Interesting topic!
hey, siraj.. I love your videos on machine learning and AI stuff. you keep me motivated to learn the stuff..Here is a small request for you, that day you did a live kaggle challenge please do more kaggle challenges in future (1 in a week if possible) especially for all those who are newbies to ML and data Science ..Explaining 1.how to tackle with the data set
2. approach to applying algorithms to get the required answers...etc
I think we all will love that live stream for sure...thanks ..
.ONE OF YOUR BIGGEST FAN AND DISCIPLE
Could you turn on captions please? Thank you!
great video .... will be waiting for the video on multi class classification....as i get very confused while choosing a algorithm for multi class classification.....this
(don't choose SVM they are fu*k*ng slow)
thanks a lot siraj...keep bringing videos like
I am really dazzled by the code you have put in .. can we use the function of Logistic regression from sci-kit learn instead of writing a manual code ??
How can we apply ML to things like home automation?
Hello Siraj, Can you make a video about software 2.0?
Thank you for the videos.
I trained the sentiment analysis but i do not know how to make a web app...can anyone help...
Siraj can you post the link to download the dataset please. Thanks in advance...!!!!!
Siraj, When you show functions or complex formulas, like at 5:25 or 9:16, is that something you can understand easily, like you're reading a sentence? I like how you lead us through the equation ~5:00, but I wonder if it's always that straightforward to you.
Often times I see these in papers, and my eyes glaze over.
No they are not 😂😂
It's calculus and it'll always be hard no matter who you're.
thank you for tutorial
Great!
Hello Siraj,
Please help me on how to study computer vision from scratch, like you explained about studying machine learning. Please make a video or reply me with authentic link to refer.
Regards,
hard. content
plz make videos on different optimisation technique
This is not true, since our predictions line should pass through the point y = 0.5, which is the intersection between yellow line and green line (because it was the mean of y in [0,1]). The outlier just make the line rotate around the point!! If you want, you can write the code to show it, but if i was wrong, show me the data :p
Logic Regression is actually classification form, not regression problem ;)
"It's not a too-more!"
FIrst like, always wanted to do it lol
hey Siraj why don't you follow this en.wikipedia.org/wiki/Outline_of_machine_learning Wikipedia page content in this page there are nearly all of algorithms of ML. can you please explain them or do your best to cover the most of it?
like i am confused about the types of Decision trees (id3, info gain ... etc) which should to be used and why it's math make sense .... it would be very helpful thanks
Learn more about logistic regression with R
drive.google.com/file/d/1qcq_186AMe2XK9aNiSLxLbvXlAmryWXX/view?usp=sharing
how do you make money with ai ?
Siraj University
This thing of LG is for lazy people the doesnt want to scrole facebook animore?
wow 4 am
sarthak mishra that would be like 6:30 pm in us
I was expecting an actual explanation, not an ad for a library
9,999 views.......... OMG HOLY F
Yo
my DREAMS from Somalia
Piratebay hahaha
First