https://mydocker.universite-paris-saclay.fr/login?redirectTo=%2Fshell%3Fcourse_id%3D17
→ START HERE: Quick Start Guide ⭐
📋 Quick Reference Summary - Visual overview of the 10-week journey
📚 Complete 10-Week Roadmap - Detailed weekly plans with resources
📝 Blog Progress Tracker - Track your weekly blog posts and time
About the Roadmap:
A structured 10-week plan (2-4 hours/week) tailored for learners with strong math/CS backgrounds (CPGE PSI + Engineering). Includes weekly goals, resources, coding projects, and blog post topics.
- Illustrated Machine Learning
- Machine Learning Weekly Review
- Karpathy's Blog
- Colah's Blog
- Jason Wei's Blog
- Scott Aaronson's Blog
- Million Integrals
- Lilian Weng's Blog
- Neel Nanda's Blog
- Jake Tae's Blog
- Sebastian Raschka
- Distill
- NPTEL Course - Pattern Recognition and Application
https://illustrated-machine-learning.github.io/#/ https://blog.mlreview.com/machine-learning-weekly-review-992c2c6ea47
clokify for tracking time mpri https://github.com/josephmisiti/awesome-machine-learning https://x.com/AnantaVichara/media https://www.kaggle.com/code/ryanholbrook/a-single-neuron +discord docs: ML resources-
Ilya's paper recommendations-https://arc.net/folder/D0472A20-9C20-4D3F-B145-D2865C0A9FEE
full list-https://ml-resources.vercel.app/
https://karpathy.ai/zero-to-hero.html
books-
mathematics for machine learning- https://mml-book.github.io/book/mml-book.pdf
Linear Algebra and Its Applications by Gilbert Strang- https://rksmvv.ac.in/wp-content/uploads/2021/04/Gilbert_Strang_Linear_Algebra_and_Its_Applicatio_230928_225121.pdf
youtube-
3Blue1Brown-
Essence of linear algebra- https://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Essence of calculus- https://www.youtube.com/watch?v=WUvTyaaNkzM&list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr
Andrej Karpathy- https://www.youtube.com/@AndrejKarpathy
Umar Jamil- https://www.youtube.com/@umarjamilai
Yannic Kilcher- https://www.youtube.com/@YannicKilcher
Sebastian Raschka- https://www.youtube.com/@SebastianRaschka
blogs-
Andrej Karpathy-https://karpathy.github.io/ Colah's Blog - https://colah.github.io Jason Wei-https://jasonwei.net/blog Scott Aaronson-https://scottaaronson.blog Jerry Tworek-https://millionintegrals.com Lilian Weng-https://lilianweng.github.io Nanda's Blogs-https://www.neelnanda.io/ Jake Tae's old Blogs - https://jaketae.github.io Sebastian Raschka- https://sebastianraschka.com distill-https://distill.pub/
Reinforcement Learning https://nptel.ac.in/courses/106106143
Artificial Intelligence: Knowledge Representation and Reasoning https://nptel.ac.in/courses/106106140
Artificial Intelligence Search Methods For Problem Solving https://nptel.ac.in/courses/106106226
Applied Accelerated Artificial Intelligence https://nptel.ac.in/courses/106106238
Artificial Intelligence https://nptel.ac.in/courses/106105077
Artificial Intelligence https://nptel.ac.in/courses/106105078
Pattern Recognition https://nptel.ac.in/courses/117108048
u said c++ then this book will be really helpful https://docs.nvidia.com/cuda/pdf/CUDA_C_Programming_Guide.pdf
Probabilistic Graphical Models
https://ermongroup.github.io/cs228-notes/
Okay so hers's the resources and my personal roadmap(as of now reflected in order ) on how i'm gonna learn the CUDA programming
- PMPP https://libgen.li/edition.php?id=146589140
- DLI course nvidia https://developer.nvidia.com/accelerated-computing-teaching-kit-syllabus#
- 100days of GPU challenge [example repo https://github.com/1y33/100Days ]
- (optional) Youtube https://www.youtube.com/@pmpp-book/videos 5.([later in journey) Second book for revision and programming : https://docs.nvidia.com/cuda/pdf/CUDA_C_Programming_Guide.pdf
https://www.youtube.com/watch?v=yBL7J0kgldU https://cs231n.stanford.edu/slides/2025/ https://www.youtube.com/c/T%C3%BCbingenML/playlists They have some good lectures on PML, and others. https://diffusion.csail.mit.edu/ https://youtu.be/Fk2I6pa6UeA?si=hT31G86DDX2S9sPO https://leetgpu.com/ https://ghoshadi.wordpress.com https://vijayrampeesa.wordpress.com/wp-content/uploads/2016/02/dms-txt-book.pdf https://artofproblemsolving.com/wiki/index.php/Olympiad_books?srsltid=AfmBOorVtcbNFUrFoOHOug-_EnD5nY-gzK9uMUfAR1rjLOZIxlySz2ju
Finished this lecture after days of procrastination https://www.youtube.com/watch?v=kCc8FmEb1nY
Over last 2 days:
- https://www.frozentux.net/iptables-tutorial/iptables-tutorial.html (c3)
- https://github.com/saminiir/level-ip (completed) HackerOne signup and some XSS reading and exploits. Finished Reading: https://archive.org/details/google-ai-agents-whitepaper/page/28/mode/1up?view=theater Reached and wrote notes till C6 of https://web.stanford.edu/~jurafsky/slp3/ed3book.pdf Finished Karpathy Makemore (a bigram model)
- 5 exercises in the description box of the video
- https://www.youtube.com/watch?v=PaCmpygFfXo