Mateo Ursuga

[Shubham Mishra 🐐 @shubh6200]

Leetcode but for AI/ML Engineers by
@TensorTonic

https://t.co/lYarjW36mT

[Vivek Galatage @vivekgalatage]

Graph Theory Playlist

https://t.co/EiTePcvvJY

[Mohit Mishra @chessMan786]

Computer Architecture: Advanced Processor Design

[Mohit Mishra @chessMan786]

Operating Systems

[Guillermo Casaus @_guillecasaus]

Si te da miedo hablar inglés, esto te interesa.

Existe una IA conversacional gratuita llamada Sesame que mantiene conversaciones con un nivel de naturalidad increíble para que puedas practicar inglés.

→ Voces que suenan prácticamente como una persona real
→ Conversaciones fluidas con memoria y contexto
→ Puedes interrumpirla y responder en tiempo real
→ Corrige errores y te ayuda a sonar más natural

Link en comentarios 👇

[Jokker @0xJokker]

STANFORD ACABA DE FILTRAR GRATIS LA CLASE QUE EXPLICA COMO FUNCIONA CLAUDE Y CHATGPT POR DENTRO

La mayoria desperdicia el 90% de su potencial

Stanford te lo enseña en 1h44 minutos

Guardalo en favoritos para no perderlo 🔖

[Amit Shekhar @amitiitbhu]

Transformer architecture explained step by step - the full architecture, every attention variant, positional embeddings, and every layer inside a Transformer.

Learn here: https://t.co/Hkkgyd0a4I

[Mohit Mishra @chessMan786]

Why Your Code is Slow (Stack and Heap Memory Explained)
Your code is logically perfect, so why is it still crawling? Today we explore raw pointers, local scopes, and exactly how memory location decides if your program survives a high stakes execution cycle.

[vixhaℓ @TheVixhal]

The best thing you can do for your future in AI is invest in math as early as possible.

[CodeCrafters @CodeCrafters11]

9 websites where you can download unlimited books for free (completely legal):

1. planetebook. com

2. gutenberg. org

3. freecomputerbooks. com

4. zlibrary. to

5. oceanofpdf. com

6. manybooks. net

7. pdfdrive. com

8. standardebooks. org

9. digilibraries. com

CAUTION: As these are free sites, you may see Ads. Don't click on the links if you are not fully sure. Close the window if you notice any

[Vivek Galatage @vivekgalatage]

Absolute great start with the roadmap to understanding GPU Architecture from Cornell.

https://t.co/54Lxi3H3Sg

[Carla @carlabqr]

Viktor Frankl. El hombre en busca de sentido.

[Neo Kim @systemdesignone]

14 GitHub repos to boost your software engineering career

(bookmark + star them now):

[Mathematica @mathemetica]

Recurrent neural networks process sequences by propagating information through time via shared parameters.

A hidden state h receives input x via weight U and produces output o via weight W while connecting back to itself through recurrent weight V in the compact form.

The unfold operation expands this across time steps t-1, t and t+1, where each hidden state h_t incorporates the prior state via V along with the current input x_t via U to generate the corresponding output o_t via W.

It powers sequence prediction in applications such as next-word suggestion in keyboards.

[Mohit Mishra @chessMan786]

How to Make a Programming Language

[Amit Shekhar @amitiitbhu]

How does a GPU work for Deep Learning?

Read here: https://t.co/YLFjZkSYqW

[Mathematica @mathemetica]

Tensors generalize vectors as lists and matrices as grids into higher-order arrays like 3D cubes.

Comparisons include a vector as a list, a matrix as a grid, and a 3-tensor as a cube, along with the stress tensor σij on a cube featuring arrows for components like σ11 and σ23, the product derivative rule, the Riemann curvature tensor R(u,v)w = ∇u ∇_v w − ∇_v ∇_u w − ∇[u,v]w, quantum superposition 1/√2(|00⟩ + |11⟩), and algebraic operations like the tensor product.

It is used to analyze internal forces and deformations in engineering materials and to describe the geometry of spacetime under gravity in general relativity.

[Mohit Mishra @chessMan786]

Build a Linux System from Scratch

[Nav Toor @heynavtoor]

In 2016, a man with no CS degree quit his job to study for a Google interview.

He was an English major.
A self-taught web developer.
A former Korean translator in the US military.

He studied 8 to 12 hours a day. For 8 months straight.

Algorithms. Data structures. System design. Operating systems. Networking. Every topic Google asks.

He tracked every minute of it on GitHub. He called the repo "Google Interview University."

Then he applied to Google.

Google never called him back.

Here's the wildest part:

The repo he left behind became one of the most-starred projects on GitHub. Over 343,000 stars. Used by thousands of devs to break into FAANG.

He got hired at Amazon as a Software Engineer.

His name is John Washam. The repo is now called coding-interview-university.

Inside you get:

- A multi-month study plan, week by week
- Every CS topic Google, Amazon, Meta and Microsoft actually ask
- Algorithm patterns with worked examples
- System design from zero to senior
- Big-O, data structures, trees, graphs, recursion, dynamic programming
- Behavioral interview prep
- Mock interview drills
- Book and lecture recommendations he personally used
- Flashcards, video resources, and a coding question practice plan

Self-paced. Free. No course. No paywall. No upsell.

Just one engineer's 8-month study log, open for anyone who wants to follow it.

If you are preparing for a tech interview, this is the most complete free roadmap on the internet.

100% Open Source.

(Link in the comments)

[Mohit Mishra @chessMan786]

Creating a Compiler