If you want to learn AI/ ML in 2025 but don’t know how to start, this video will help. In it, I share the 6 key steps I would take to learn ML if I could start over.
Enjoy š
=== Links to resources ===
Math
– Why Machines Learn (affiliate link):
– Khan Academy:
Machine Learning
– Andrew Ng’s ML specialization:
Deep Learning
– Andrew Ng’s DL specialization:
– Stanford CS25:
– @AndrejKarpathy
– Understanding Deep Learning:
Projects
Kaggle:
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================== Timestamps ================
00:00 – Intro
00:36 – Python
02:29 – Math
06:50 – Machine Learning
08:10 – Deep Learning
11:47 – Projects
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#ai #datascience #machinelearning
source
Want to ask specific questions and talk about your ML journey? Let's chat!
šš» https://calendly.com/boris-meinardus/consulting
Thank you for the great video. It would be great to get more on reimplementing papers or give us a few papers to work through (hopefully from beginner to advanced levels).
hey i am well versed in some of the machine learning and deep learning algorithms the basic ones like linear regression logistic regression , neural netwroks and i want to go further in computer vision can u suugest some resources for that ?
7:27
I'm scared that I'm not gonna be good enough at maths for understanding all this, last time I tried to learn, in 2020/2021, I got discouraged while learning tensorflow. I'm trying again, hoping this time I can make it. Math's scary af and I've always been pretty bad at it. Got the 2 books, fingers crossed š
what can be free alternative of andrew ng's course ?
Will you tell me what I should know as a project manager?
Great recommendation! šā¤ Will learn the book together with Claude AI š
1. Python basics
2. Why Machines Learn: Anil Ananthaswamy
3. Andrew Ng ML specialization
4. Andrew Ng Deep learning specialization
5. CS25 Transformer Architecture
6. Andrej Karpathy YT all videos
7. Understanding Deep Learning Simon prince (for theory research top dense work)
8. Numpy/panda/matplotlib/pytorch/tensorflow/jax/sckit learn -> kaggle begginer projects
9. Reading Research paper
10. show ur work & projects (linkedin/blog post/research paper submit)
All this knowledge is giving me a raging brainer!
danke dir bro
awesome
Amazing video!
14:30 I recommend revisiting your initial project to improve it, as working on it will help you learn from your previous mistakes.
Really great advice. Thanks!
I want to study a master's degree in artificial intelligence, is it a good way to learn machine learning? Or is it an expensive way?
hey Brother who edits your videos or do you edit by yourself?
The best way to learn AI is to start in 1987, write your own algorithms in "C", because that was the only way. Read lots of books (there was no internet) and get on to IEEE paper journals (tons of them). 10 years later you might be able to buy groceries. 10 years after that have a team of people. To be ahead of everyone else, you really have to be DEDICATED to the art and work DAMN HARD (and smart… try to be smarter than your algorithms lol)
What about Googleās AI Courses?
What a great video man! Huge thanks
I like your recommendations. Thank you
How much DSA knowledge is typically required for ML roles as a fresher?
U deserve more recognition
May I know do I need to know maths and physics?
Thank you Dustin Poirier
Is a degree in computer science compulsory for one to go into this path?
My school organises optional Machine Learning and artificail Intelligence classes yearly but I'm just starting school so it all looked too bulky and hard for me I had to leave it cos I was not understanding anything. Thanks to you I'm going to take my time and learn ahead so by next time I will be very prepared and maybe even be ahead of them. Thank you very much š
Great..no words to describe
Where would you practice ML and DL?