@sahilandsarra

Try my free email crash course to crush technical interviews: https://instabyte.io/
Mathematics for Machine Learning: https://imp.i384100.net/math-for-ml
Data Science Math Skills: https://imp.i384100.net/datasciencemathskills
Introduction to Statistics: https://imp.i384100.net/stanford-statistics
Python Programming: https://learnpython.org/
Machine Learning Specialization: https://imp.i384100.net/machine-learning-specialization
Kaggle: https://www.kaggle.com/
Deep Learning Specialization: https://imp.i384100.net/deep-learning-specialization

Full Disclosure: This is NOT a sponsored video. The links are affiliate but all the courses are available for FREE if you want.

@rvr_motivations

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

@DanielBinoy-j7z

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

@danielletov7637

The amount of useful information I got from this video in 7 minutes is astonishing. Very impressive!

@SRKR_02

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 :) :)

@1sava

This is one of the best videos about getting into Machine Learning. Straight forward and streamlined! Thank you so much!!!

@jodapushparaj

Love From Andhra Pradesh  Thank you for Your Amazing Content

@csanvi

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!

@manikantashet5921

One of the cleanest guidance available in YT on Machine learning. Thank you sir

@anshul2889

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

@anne8lars

Amazing how much information you packed into 7 mins. Thank you for your awesome contribution. :)

@eman0828

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.

@Eleo828

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 !!

@radha5507

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❤❤

@Lamssatti1891

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.

@madhuryaparashar9337

If making complicated things easy is an art, Sahil would be the Picasso of it. :) What a gem of a video.

@ovundaelenwo855

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!

@danushkhanna8982

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?

@AllanOdila

thanks for the clarity

@shivatrivedi6964

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