Thank you madam. I can see the passion and effort you had put over many years to understand these complex theories and making simple for us to understand.
Excellent lecture Mam...The concept is up-growing systematically through this lecture...If someone gives a patient attention, it's very easy to grasp and never getting bore...
@@jck3195 Not much to be honest, get a hang of Multi variable calculus, and Linear Algebra. Statistics is not a necessity for deep learning. Also some idea about python programming is an added bonus to get a hang on live projects.
@@jck3195 bro I learnt all of these in my UG, if you still want to pursue python start by practicing it. For calculus refer to 3blue1brown yt videos, followed by any NPTEL courses on calculus 101 , should suffice
Where can i get these slides and assignments (not solution), as both are not available on NPTEL website. If anyone has, please provide me a working link. Thanks
Madam thank you very much. Out of all ML vedios i have seen in youtube, tese are most understandbel. madam where can i get the slides of your lectures, so tat i can prepare for interviews.
Then read a book. The standard for Machine Learning is by Mitchell. The book is called Machine Learning. There are plenty of scanned copies floating around and it’s very easy to read. He does a great job explaining the topic.
I am not from computer science background and I am having trouble in understanding of the concepts😢. I am literally struggling hard to understand the concept and what ma'am is saying. It took me almost 1.5hrs to complete a 30min video even at 2x speed and still understood only 10% of it. Someone please tell me if I need any prior knowledge before getting into this course or any other alternative so that I can grasp the concepts. My feedback: If you have no prior knowledge of ML or if you are a non cs background student. Please don't think to join this course, It would be or it will be the one of the most boring lecture you have ever watched. Edit: I watched next of the lectures at normal and 1.5x speed and it made it a little easy to understand, but still I am not able to solve the assignments.
if you could find more helpful videos then this Ma'am please let me know because so far i have searched almost everything in youtube and nothing more knowledgeable then this.thank you ma'am. From PAKISTAN.
Excellent articulation of frequently used terminologies of ML.....Thanks a lot Madam!
A fantastic lecture on hypothesis space and bias.
The excellent lecture was given by you Mam...thank you for the basic concept.
You can also understand everything she is saying at 1.5x speed
2x is best
More than 2x is best
I'm at 2x mode😅
pure knowledge , thanks mam for such amazing lecture.
Excellent lecture, Dr. Sarkar. Thank you for sharing!
Thank you Prof. Sudeshna Sarkar for sharing this courses
Thank you very much Madam for explaining these concepts in detail
Thank u mam for giving a amazing course and explanation.
very good course online for research scholars
Excellent Effort, Sudeshna Madam, Good Job NPTEL
I am a S/W developer. I found this Useful for my ML/NLP Project.
Thank you so much ma'am. Very nicely you explained.
It is really cool!!!!!
Very good explanation. Thanks a lot mam
EXCELLENT UNDERSTANDING
excellent madam. very nicely explained. really good and great
this course is so underrated.
Amazingggg lecture!
is it like that we prepare alist of hypothisis and keep updating aur recent hypothesis after failing some where.
please clear this point.
Very informative
thank you NPTEL for this amazing course. I need ppts used in these videos. Where can i get it. ?
Sujit Fulse you need to enroll
Bro take ss
After enrolling for the course u can get them
Thank you madam. I can see the passion and effort you had put over many years to understand these complex theories and making simple for us to understand.
You have a good sense of humor dude...
rc
than you ma'am
Many thanks Madam 🙏
Excellent lecture Mam...The concept is up-growing systematically through this lecture...If someone gives a patient attention, it's very easy to grasp and never getting bore...
I did this course 3 years back.
What's your experience?
Lucky enough to be taught Deep learning by her at kgp!
Bro hw tough is it to understand if sm1 is not from engineering background???
@@jck3195 Not much to be honest, get a hang of Multi variable calculus, and Linear Algebra. Statistics is not a necessity for deep learning. Also some idea about python programming is an added bonus to get a hang on live projects.
@@ayazlakhani5890 thanx bro ,, I know linear algebra n hv some idea abt stats ,,can u suggest from whr to learn python n multivariable calculus faster
@@jck3195 bro I learnt all of these in my UG, if you still want to pursue python start by practicing it. For calculus refer to 3blue1brown yt videos, followed by any NPTEL courses on calculus 101 , should suffice
@@ayazlakhani5890 thnx a lot bro 👍
Where can i get these slides and assignments (not solution), as both are not available on NPTEL website. If anyone has, please provide me a working link. Thanks
Thanks for your sharing. This course is very good for my study. I want to know how we quantify the inductive bias and whether it is quantifiable ?
How the no. Of functions become 2^(2^N)
What about unsupervised learning??
Madam thank you very much. Out of all ML vedios i have seen in youtube, tese are most understandbel. madam where can i get the slides of your lectures, so tat i can prepare for interviews.
take screenshots of the video when the slide comes then arrange them in a pdf
Where can we get these slides.
nptel.ac.in/courses/106105152/3 idhr neeche ppt diya hai dekh ahr course ka
She totally need an algorithm to reduce her variance
3:17 Hello guys,
I Think Probability estimation f(x`) is the probability of y,
Can anyone clear this out...
Would have been much better if explained terminologies with some example problem..
Awesome lecture
Is it possible to get these videos in hindi language... I mean Hindi speaking trainer...
Hi which machine learning book I can refer
Mitchell
Did anyone had attempted..the NPTEL exam of introduction to machine learning
25:21
very abstract it feels like the information is being read off a paper real life examples would make this easier to understand what your talking about
Bias and Variance are
so simple topics , this lecture has made it more complicated.
i am not clear on "concept". can someone please help?
Refer "Machine leaning by Tom Mitchell book " :) for basic understanding of "concept"
Manikanta Nallamalli Is it a good book for ML?
yes , it's really a good reference
Anish Shetty
Im already lost in the first lesson with all the terminology
Then read a book. The standard for Machine Learning is by Mitchell. The book is called Machine Learning. There are plenty of scanned copies floating around and it’s very easy to read. He does a great job explaining the topic.
@@hdubbs9174Thank you so much sir 🙏
@@aryanpandey8888 There's also the "Deep Learning" book online by Ian Goodfellow. You can check that out, it's free. Also, I'm not a sir. lol
very nice boring lecture... keep it up
mam , plz share the slides
buralara da düşmemeliydim aq
very informative but very boring
Ha ha
I am not from computer science background and I am having trouble in understanding of the concepts😢.
I am literally struggling hard to understand the concept and what ma'am is saying. It took me almost 1.5hrs to complete a 30min video even at 2x speed and still understood only 10% of it.
Someone please tell me if I need any prior knowledge before getting into this course or any other alternative so that I can grasp the concepts.
My feedback: If you have no prior knowledge of ML or if you are a non cs background student. Please don't think to join this course, It would be or it will be the one of the most boring lecture you have ever watched.
Edit: I watched next of the lectures at normal and 1.5x speed and it made it a little easy to understand, but still I am not able to solve the assignments.
🙄🙄just watch it on normal it is simple no prior knowledge you need to understand a machine is doing everything on a algo why are you bothering?
No real time examples. This makes the learning boring
Machine learning is nothing but high level Mathematics..learn the formalism ... don't go for shortcuts and easy explanation
Your language is tough ma'am please use simple language
very boring lecture.
boring and nt understandable
if you could find more helpful videos then this Ma'am please let me know because so far i have searched almost everything in youtube and nothing more knowledgeable then this.thank you ma'am.
From PAKISTAN.
Yess.. Extremely boring...