comments below from one criticizing are really Funny, Its a free video if you can learn even 10% out of it Say thanks. The lecturer is a Professor which means she has done her studies in much better way than you all who are just trying to get into Data Science or Machine Learning. And if you people know everything post your videos may be it can help us
I see some people here criticizing her teaching pointing out that her teaching is too rote teaching or they couldnot grasp anything. This is absolutely amazing lectures actually. If you lack required maths than stay away. And it's not like she have time to teach linear algebra, calculus, vector analysis everyting in single lecture. First go learn these topics and come. Someone said some online institute could teach better than her. Lol, you will mostly learn intuitions there with little to nothing about related maths.
Sudeshna Ma'am your videos are really helpful. I wish i have a teacher like you. Please keep uploading videos on such beautiful topics. Would like to learn more from you.
14:24 maam shouldnt it be max of all functional margin as we want the largest distance from the decision boundary/surface for better classification? why min, i didnt understand.
Before you actually jump into the world of ML or AI, you NEED TO understand Linear Algebra and Calculus. Go to KhanAcademy, it is free. Spend 1 month purely digging into these courses. My suggestions: Start with Calculus I& II and then you can learn III and Linear Algebra at the same time.
How can be the normal distance between a point and a line expressed as y*(wx+b). Like this, so many things have been left unclear in the video. I have watched her previous videos too. She does not explain maths intuitively. Just vomits out the mathematical equations without explaining the meaning behind them. I wonder if this is the state of affairs of teachers at IIT, god help those who are learning ML in normal colleges. If you watch the Logistic Regression video also, she did not explain the need and process to derive the log equation.
Ya bro, I get your point that mathematical descriptions are not really detailed. But it is simply because its just a UG level course, that does mean the professor lacks math background. I hope u don't mean the same for Andrew Ng after watching his course.
comments below from one criticizing are really Funny, Its a free video if you can learn even 10% out of it Say thanks. The lecturer is a Professor which means she has done her studies in much better way than you all who are just trying to get into Data Science or Machine Learning. And if you people know everything post your videos may be it can help us
Well said.
I am studying in stanford and i can say she is the best i have seen so far.
🤣🤣
WOW!!!! This is by far the best channel I've found on learning Machine Learning! These lessons are absolutely amazing! Thank you so much!
I see some people here criticizing her teaching pointing out that her teaching is too rote teaching or they couldnot grasp anything. This is absolutely amazing lectures actually. If you lack required maths than stay away. And it's not like she have time to teach linear algebra, calculus, vector analysis everyting in single lecture. First go learn these topics and come. Someone said some online institute could teach better than her. Lol, you will mostly learn intuitions there with little to nothing about related maths.
This is rote teaching..new online teaching centres are there because of this...Boom
Great Professor!
Sudeshna Ma'am your videos are really helpful. I wish i have a teacher like you. Please keep uploading videos on such beautiful topics. Would like to learn more from you.
Sudeshna Mam teaches really well
This is excellent
Why SVM? For what? What you can expect in future?
Awesome !!
Thanks, A for apple , B for ball, there are 100 of free videos better than this🤔🤔
14:24 maam shouldnt it be max of all functional margin as we want the largest distance from the decision boundary/surface for better classification?
why min, i didnt understand.
good quetion i also thought that
guys, please tell where to learn maths which is used in this lecture?
Before you actually jump into the world of ML or AI, you NEED TO understand Linear Algebra and Calculus. Go to KhanAcademy, it is free. Spend 1 month purely digging into these courses. My suggestions: Start with Calculus I& II and then you can learn III and Linear Algebra at the same time.
NCERT maths
what is the difference between functional margin and perpendicular distance
can i access the 2023th ML assignment quetion papers
Unfortunately very confusing and badly explained, I rather understood it from Patrick Winston MIT's lecture.
SVM reference:
towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47
How can be the normal distance between a point and a line expressed as y*(wx+b). Like this, so many things have been left unclear in the video. I have watched her previous videos too. She does not explain maths intuitively. Just vomits out the mathematical equations without explaining the meaning behind them. I wonder if this is the state of affairs of teachers at IIT, god help those who are learning ML in normal colleges. If you watch the Logistic Regression video also, she did not explain the need and process to derive the log equation.
Ya bro, I get your point that mathematical descriptions are not really detailed. But it is simply because its just a UG level course, that does mean the professor lacks math background. I hope u don't mean the same for Andrew Ng after watching his course.
Mam, What is wT?
transpose of the matrix W.
What is' Sought of linear', how its non linear?
The representation of vectors are not at all simple as they should be. -_-
Sorry to say but I did not get any thing from her teaching...
Poorly prepared lectures. On positive side , PhD student explain it nicely at the end of each module.
Mam please learn mathematics
Lol you need to learn maths. You are the one who is not understanding. She is a professor with PhD. She can talk in Maths.
@@amritgurung1722 yeah
i did't catch almoust anything
Hello guys you can get full understanding and much clear explanation in this link : ua-cam.com/video/_PwhiWxHK8o/v-deo.html
yeah man, 100x better than this lecture, thanks!
Really poor explanation unfortunately