Mitesh Khapra is the OG teacher in deep learning. There’s no other teacher who has explained DL concepts in a simpler manner, in a way that one just can’t forget.
Another probability course I would like to suggest is Stat 110 at Harvard (available on UA-cam). It has one of the best course structures I have seen and the instructor is exceptionally good at explaining the concepts using multiple practical examples and scenarios. The only down-side is that the course might be a bit on the heavier side for first timers.
Thank you. It's been a really informative video. I'm currently doing Andrew's course. Will definitely check out with MIT courses that you've suggested to get my basics right
Thanks for having this video sir. This year in august i am joining M.tech AI in NIT Silchar. This is the video i really needed at this time. Having 1 month in hand atleast i make myself eligible so that i can do good in the course. Thank you very much.
Thanks a lot dadabhai for recommending resourses to follow in such step by step manner. Online atto courses / reading materials available ache konta follow korbo ki order e puzzle hoye jachilam😓. Recently just started the latest ML specialization courses in coursera by Andrew Ng, it's more detailed than the earlier one and implemented using python
Yes all the courses in Coursera are really good and had covered from very basic. You can refer any of them . The course i mentioned is the well known one. And yes i forgot to mention about the programming part. I might discuss it ij my next video.
Sir, will be persuing Mtech AI from IIT. It is not possible to go through everything before going to college.... Should we worry now or just do basic prerequisite because curriculum itself has everything basic in 1st sem and advance in 2 sem onwards.
Simple strategy: Focus on prerequisites now and if possible complete the Coursera ML course. Now once you join mtech during you course follow these are extra reference to understand the things taught in class well.
@@riderop21 basic python would be sufficient for now, later u might have to expert on pytorch and tensor flow. Good you point it out. I will make another video regarding that. Thank you.
Hello dada, I am joining IIsc CSa, and i am interested in ml and deep learning. How can i contact you ? i have some queries regarding what courses to take?
HELLO SIR THESE RESOURCES ARE FROM THEORETICAL ASCPECT OF AI AND ML OR IT ALSO COVERS APPLICATIONS AND EVERYTHING? ACTUALLY I AM NOT FROM CS OR IT BACKGROUND, I AM FROM MECHANICAL AND I WANT TO PERSUE AI AND ML AS A CAREER, WHAT SHOULD YOU SUGGEST? PLEASE MAKE A VIDEO FOR THE NON- CS/IT PEOPLE ON THE ROADMAP TO A JOB IN THIS FIELD. PLEASE HELP SIR
These are both from theoretical and application aspect. No issue if you are from noncse, you will be able to understand it, beacuse ML/AI is based on linear algrbra and probability theory, so everyone can understand it with basic knowledge on LA and prob.
Mitesh Khapra is the OG teacher in deep learning. There’s no other teacher who has explained DL concepts in a simpler manner, in a way that one just can’t forget.
Yes he teaches really well.
Another probability course I would like to suggest is Stat 110 at Harvard (available on UA-cam). It has one of the best course structures I have seen and the instructor is exceptionally good at explaining the concepts using multiple practical examples and scenarios. The only down-side is that the course might be a bit on the heavier side for first timers.
Thank you. I will check it.
Thank you. It's been a really informative video. I'm currently doing Andrew's course. Will definitely check out with MIT courses that you've suggested to get my basics right
Welcome. Please share with others.
bhai u speak so well, really like it , no out of box accent but still soothing to hear + knowledge
Thank you so much. Please do share the videos.
Thanks for having this video sir. This year in august i am joining M.tech AI in NIT Silchar. This is the video i really needed at this time. Having 1 month in hand atleast i make myself eligible so that i can do good in the course. Thank you very much.
Welcome. All the best for your Mtech.
Thank you dada for this video 🙏✨
Please do share with others
@@kishalaydas ofcourse dada
@@kishalaydas that Coursera link is not working , in the description , plz update.
Thanks for Info. Updated.
Well presented materials in a structured incremental way!!👌
Thank you bhai. Share kor.
@@kishalaydas 👍done in linkedIn.
@@tauhait thank you.
@@kishalaydas 🙏
Excellent vidio sir
very informative, loved it. keep it up!
Thank you. Please share with others.
Thank you, this road map is good
Welcome Tarun, please share with others.
is the maths course of MIT from basics?
Yess
Thanks a lot dadabhai for recommending resourses to follow in such step by step manner. Online atto courses / reading materials available ache konta follow korbo ki order e puzzle hoye jachilam😓. Recently just started the latest ML specialization courses in coursera by Andrew Ng, it's more detailed than the earlier one and implemented using python
Yes all the courses in Coursera are really good and had covered from very basic. You can refer any of them . The course i mentioned is the well known one. And yes i forgot to mention about the programming part. I might discuss it ij my next video.
Helping soul
Thanks
Hi Kishalay , can you please cover expectations from a direct P.hD Candidate interview at IIT's
Yes i will soon make a video on direct phd.
One more resource for probability and statistics - stat110 by prof Joe biltzstein
Sir, will be persuing Mtech AI from IIT. It is not possible to go through everything before going to college....
Should we worry now or just do basic prerequisite because curriculum itself has everything basic in 1st sem and advance in 2 sem onwards.
Simple strategy:
Focus on prerequisites now and if possible complete the Coursera ML course.
Now once you join mtech during you course follow these are extra reference to understand the things taught in class well.
@@kishalaydas sir how about level of coding requires throughout the 2 years ...I know Python and C++ but basic level
@@riderop21 Which IIT?
@@surprise_notsofast iit g
@@riderop21 basic python would be sufficient for now, later u might have to expert on pytorch and tensor flow. Good you point it out. I will make another video regarding that. Thank you.
Sir is knowing python pre requisite for all these courses which u mentioned
Yes, I forgot to discuss the coding skill part in this video. I discuss it in a later video :
ua-cam.com/video/Q93yoarFDs0/v-deo.html
@@kishalaydas currently I'm doing it from UA-cam , basics of Python
Hello sir.. I am joining KGP VIPES this year and want to make ai/ml profile so what should I do in 1 month before joining college??
Prepare the prerequisites, i.e linear algebra, probability and practice python
Hey kishlay please suggest course for statistics , pls provide link
Statistics not needed in that depth for ML
@@kishalaydas thanks bro for reply
you said you will give website to practice probability ,currently i was doing probability so please provide
If there is Statics course ,from MiT where would I get
Hello Bhaiya.... In MIT Lectures do we need to solve assignments and quizzes as provided by MIT for ML preparation?
U can solve them for better understanding of the subject.
@@kishalaydas ok sure bhaiya
Hello dada, I am joining IIsc CSa, and i am interested in ml and deep learning. How can i contact you ? i have some queries regarding what courses to take?
Ping me in Google chat or hangout:
kishalay.msit@gmail.com
Joining M-Tech in KGP this year... Excited to meet you there as I also want to work in AI/ML and Data Science domain.......😀😀
Sure, Connect me when you are in campus
Sure... August me hai session start.... Us time hi milta hun aapse......🙃🙃
Ping me or mail me in Google:
kishalay.msit@gmail.com
@@kishalaydas sir in BTech our college do this course can I participate cse or it company job in this course?? After I want to higher studies about it
@@subhajyotimaity3093 Ami tomar question ta bujhte parlam na...bangalate korte paro.
HELLO SIR THESE RESOURCES ARE FROM THEORETICAL ASCPECT OF AI AND ML OR IT ALSO COVERS APPLICATIONS AND EVERYTHING? ACTUALLY I AM NOT FROM CS OR IT BACKGROUND, I AM FROM MECHANICAL AND I WANT TO PERSUE AI AND ML AS A CAREER, WHAT SHOULD YOU SUGGEST? PLEASE MAKE A VIDEO FOR THE NON- CS/IT PEOPLE ON THE ROADMAP TO A JOB IN THIS FIELD. PLEASE HELP SIR
These are both from theoretical and application aspect. No issue if you are from noncse, you will be able to understand it, beacuse ML/AI is based on linear algrbra and probability theory, so everyone can understand it with basic knowledge on LA and prob.