Week 1 - Lecture 1 - Introduction to Machine Learning

[@MSuriyaPrakaash]

the best nptel lecture i have heard so far

[@VinodKumar-fn2iq]

Every nptel lecture makes me sleepy 🥺

[@phanindrareddy4885]

Super 💯❤

[@avinashtiwari7743]

He taught Perplexity CEO

[@ece43pranjalrai62]

the only problem with nptel i always wonder that why they don't share the ppt!!

[@raghvendratiwari7862]

assignment of ML and final exam of ML is it easy or hard?

[@light2666]

any idea?

[@sujatasharma562]

lemme know as well

[@keerthiprasad6943]

Prof looks like SPB brother

[@shanmukha599]

Yes

[@ramsp35]

Is ML being replaced by citizen Data scientist auto-ML

[@no-body7286]

sir please provide us with ppts

[@siddharthsinghtanwar2043]

Werid context to use the word chaffing but alright, let's go!

[@chiragpalan9780]

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.

[@bhuvaneswaris1525]

Pls refer Week 2 Lecture 5 @ 12:42

[@vivekpanwar7875]

Where I get notes for this

[@sudipa.batabyal2131]

Hi team, could you please let me know how to get all the lectures for this course..

[@_adarsh_saini_]

nptel.ac.in/courses/106106139/1

[@prathamva7392]

Thanks

[@sakshimishra6450]

done

[@harpreetsingh-nw8vc]

sir, I joined your nptel course for 2022

[@ishansharma0211]

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

[@hiteshvaidya3331]

Amazing lecture. But these are theoretical lectures, what about practical programs? Is there some way through which I could learn practicals as well?

[@shashanksaurabh9041]

Hey can you please mention the link of the above discussed?