I have been studying data science and machine learning from past few months from various online sources. I have built few projects also by using some github file as reference. But i failed to understand the explicit use of probabilitiy in it. Can anyone help me understand this with example or provide some good source to learn this? Thank you.
I have also joined..but I think it is better to watch simplilearn or Coursera videos..rather than this paper reading..only theories..no concepts..These videos are best only if you have some basics about this..for freshers..it is a garbage
the best nptel lecture i have heard so far
Every nptel lecture makes me sleepy 🥺
He taught Perplexity CEO
Aravind Srinivasa
the only problem with nptel i always wonder that why they don't share the ppt!!
Prof looks like SPB brother
Yes
assignment of ML and final exam of ML is it easy or hard?
any idea?
lemme know as well
Super 💯❤
Hi team, could you please let me know how to get all the lectures for this course..
nptel.ac.in/courses/106106139/1
I have been studying data science and machine learning from past few months from various online sources. I have built few projects also by using some github file as reference. But i failed to understand the explicit use of probabilitiy in it. Can anyone help me understand this with example or provide some good source to learn this? Thank you.
Pls refer Week 2 Lecture 5 @ 12:42
Amazing lecture. But these are theoretical lectures, what about practical programs? Is there some way through which I could learn practicals as well?
Hey can you please mention the link of the above discussed?
Where I get notes for this
Thanks
Is ML being replaced by citizen Data scientist auto-ML
sir please provide us with ppts
sir, I joined your nptel course for 2022
I have also joined..but I think it is better to watch simplilearn or Coursera videos..rather than this paper reading..only theories..no concepts..These videos are best only if you have some basics about this..for freshers..it is a garbage
Werid context to use the word chaffing but alright, let's go!
done