How to learn AI and get RICH in the AI revolution

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Try my free email crash course to crush technical interviews:

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:
Data Science Math Skills:
Introduction to Statistics:
Python Programming:
Machine Learning Specialization:
Kaggle:
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.

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32 Comments

  1. 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.

  2. To master the mind, you chase the code,
    A path of gold in bytes is sowed.
    Yet wisdom thrives where roots run deep,
    Where rivers sing and forests sleep.

    The future hums with AI's call,
    But nature whispers above it all.
    Balance the learnings of this age,
    With lessons penned on nature’s page.

  3. 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

  4. 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.

  5. I have question: I have learnt html css and JavaScript and now want to learn react … But as of now In my opinion there will be no chance for developers to excell in near future then what should I do … Should I switch web dev to AI development and start with python as I have good programing knowledge …

  6. This will NOT get you a job in Machine learning.

    There are 2 paths.

    1. Be a data analyst and transition from there by doing courses

    2. Be a programmer with heavy SQL experience.

    In fact, over 80% of the job in most companies is data sourcing and cleansing. Do you want that? It's all SQL. Models are the easy part. Frameworks have them built.

    DO NOT fall for this hype. You will not get a job. And make sure you want to do SQL work because you are interested.

  7. Great video! Totally agree with everything mentioned. If anyone is interested in learning more about AI and machine learning, feel free to check out my channel. I regularly post tutorials and content on these topics. 🚀

  8. Great video! Totally agree that now is the perfect time to dive into AI. For those interested in learning more, I make videos on AI and machine learning on my channel. Feel free to check them out if you're looking to enhance your skills further! 🚀

  9. What do you think about learning deep learning using PyTorch/TF and scientific learning using SciPy and data manipulation using NumPy/Pandas and using Scikit-learn for data analysis and learning more languages like R, SQL and C++ which can help you in AI engineering?

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