How to learn AI and get RICH in the AI revolution

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Published 2023-09-01
Try my free email crash course to crush technical interviews: instabyte.io/

1. How to build AI tools like ChatGPT?
2. How to learn Machine Learning?
3. How to learn Deep Learning?

I will answer all these questions in this video.

► All links:

Mathematics for Machine Learning: imp.i384100.net/math-for-ml
Data Science Math Skills: imp.i384100.net/datasciencemathskills
Introduction to Statistics: imp.i384100.net/stanford-statistics
Python Programming: learnpython.org/
Machine Learning Specialization: imp.i384100.net/machine-learning-specialization
Kaggle: www.kaggle.com/
Deep Learning Specialization: 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.

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#ai #chatgpt #machinelearning #deeplearning

DISCLAIMER: All opinions shared on this channel are our own and don't express views or opinions of our employers. We only use our experiences and public knowledge to make our content. NO CONFIDENTIAL INFORMATION of our employers is used or shared on this channel. This is not a Professional Coaching channel, it only highlights the public resources that have worked for our careers.

All Comments (21)
  • @sahilandsarra
    Try my free email crash course to crush technical interviews: instabyte.io/ Mathematics for Machine Learning: imp.i384100.net/math-for-ml Data Science Math Skills: imp.i384100.net/datasciencemathskills Introduction to Statistics: imp.i384100.net/stanford-statistics Python Programming: learnpython.org/ Machine Learning Specialization: imp.i384100.net/machine-learning-specialization Kaggle: www.kaggle.com/ Deep Learning Specialization: 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.
  • @rgaming3691
    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
  • @user-jc5rj7fm3n
    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
  • @SS-lg8fc
    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 :) :)
  • @danielletov7637
    The amount of useful information I got from this video in 7 minutes is astonishing. Very impressive!
  • @1sava
    This is one of the best videos about getting into Machine Learning. Straight forward and streamlined! Thank you so much!!!
  • @Alam2k23
    The best road map for Machine Learn. I wish this video was uploaded earlier I wasted months learning Data structure, SQL and math concepts that were not needed for ML 😢😅
  • @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!
  • @anne8lars
    Amazing how much information you packed into 7 mins. Thank you for your awesome contribution. :)
  • @manikantashet5921
    One of the cleanest guidance available in YT on Machine learning. Thank you sir
  • @jodapushparaj
    Love From Andhra Pradesh Thank you for Your Amazing Content
  • @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 !!
  • @kobe51
    His voice cures insomnia
  • @fatehktk3652
    I'm Electrical engineering ug student and today i'm discussing with my friends about my FYP that next year i will take my FYP in AI domain bcz i wanna to pursue my career in AI , and now i have watched this video and HATS OFF TO YOU MAN ! literally this 7 minutes gave me really insightful, interesting and useful info . THANK YOU MAN !
  • @WilliamGuerrand
    I'm truly impressed with how great this content is. The presenter delivers the material with remarkable clarity and coherence, avoiding the common pitfall of jargon overload often seen in discussions about AI. Moreover, the references cited throughout the course are both credible and relevant. I also appreciate the video's conciseness, which makes it accessible without sacrificing quality. You've absolutely earned a 'Like' and a new subscriber from me.
  • I have a question, as a Full Stack Developer - Is it worthwhile to switch to ML Engineer or similar roles? Or to go through the courses you mentioned? Or learning to use the tools, instead of building them is enough for a good career ahead?
  • @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
  • @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!
  • @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❤❤