2:20 Mathematics for machine learning and data specialization 3:34 introduction to statistics 4:53 machine learning specialization 5:25 kaggle hands on courses 6:09 deep learning specialization
this man is giving resources every video this is really helpful for anyone studying programming these videos allow people who study what are the mistakes you should not do very helpful
The amount of useful information I got from this video in 7 minutes is astonishing. Very impressive!
I've surfed through many yt channels looking for a proper guideline to learn something that not everyone teaches or tells about. Fortunately, I've found this channel which is very underrated but as brother says he values our time so the videos are to the point which I really really like the most and sorry to say but I would not like it if everyone gets recommendation of this channel so there will be much less competition :) :)
This is one of the best videos about getting into Machine Learning. Straight forward and streamlined! Thank you so much!!!
Love From Andhra Pradesh Thank you for Your Amazing Content
Thanks you Sahil, very informative stuff. I've started with the Maths for ML specialization & in the Algebra part now. Its a steep learning curve for sure!
One of the cleanest guidance available in YT on Machine learning. Thank you sir
When this guy gives u a course saying it is the best - TRUST ME it is the best i have come so far in writing code and building logic because of this man’s video i found 2 years back
Amazing how much information you packed into 7 mins. Thank you for your awesome contribution. :)
Just know that A.I Engineer is for the very niche market. This role isn't for everyone since a strong mathematics is involved. Most people that would make this transition would mostly have an Engineering background or hold an Engineering or CompSci Degree. Its not easy to achieve for the average.
Came across your channel for the first time, and this video has blew me away.. hats off to you, for keeping it simple, yet informative !!
Sir i watched your previous videos and started coding...i am happy to say that i am now able to solve problems very easily now... although i am still a total beginner ,i am happy to have your guidance along the way....ur video's is all that i need to get the most out of my engineering days❤❤
I would advise anyone with a strong math background to delve deep into the details behind classical ML algorithms to understand them in proper detail. It will make understanding the impact of parameters and the usual scikit learn interfaces so much easier believe me.
If making complicated things easy is an art, Sahil would be the Picasso of it. :) What a gem of a video.
I haven't watched this video to the end yet and it is already the most practical video I have ever seen on transitioning into AI! Love it!
I expected to see something in the fields of LLMs, Transformers, Gen AI, Prompt Engg, etc. given basic ML, DL are turning outdated due to these. Maybe make another video on it?
thanks for the clarity
This video like all others is great. Please make a video on opensourcing too. How one can showcase them as their work in a real interview ? Thank you
@sahilandsarra