Looking for academic level ML study partners

Hi everyone,
I’m looking for a small, focused study group (or learning partner) dedicated to deep, academiclevel understanding of AI/ML not tutorials :), not shortcuts, not surface level courses.

My learning path is structured and intense:

Advanced Python (data model, OOP, decorators, closures)

Linear algebra, calculus, probability (university level)

Pandas/Numpy (vectorization, broadcasting, clean pipelines)

ML algorithms implemented from scratch (regression, SVM, trees, boosting)

PyTorch fundamentals (tensors, autograd, training loops)

Goal: strong ML foundations leading into deep learning and transformers.

I study 6+ hours daily, consistently, and I’m looking for people who value:

discipline

depth

mathematical intuition

research-oriented mindset

building real projects (from scratch)

reproducing papers / Stanford-style assignments

long-term commitment

I’m NOT looking for a casual or beginner-friendly group.
I’m looking for serious learners who want to grow fast and push each other — the “wolves in training” type.

If anyone here is forming or already has a small group focused on:

fast.ai deep learning study

CS229 / CS231n assignments

ML theory

implementing algorithms from scratch

project based mastery

…I would be happy to join and contribute.

Let’s learn hard things together, properly.
If you are a serious learner, message me.

4 Likes

I’m also looking study group to learn ML

i just got in touch with the platform and i have just began my journey, i suppose we can make a good building team count me in. lemme know how we can be doing it if you’ve a plan

Hello, i will love to join your reading group.