Hey! We're 2aliens, an independent research studio/lab about Machine Learning, Art, Music, Games and Coding.

About

2aliens is the umbrella of personal projects created by Gabriela Thumé and Vilson Vieira.

Gabriela Thumé is a Machine Learning Engineer at Extend AI, holds a BSc. in Computer Science and MSc. in Computer Science from USP (University of São Paulo).

Twitter - Github - Instagram

Vilson Vieira is a CTO at Extend AI, holds a BSc. in Computer Science and MSc. in Applied and Computational Physics from USP (University of São Paulo).

Twitter - Github - Instagram

Projects

Map to CS/ML a.k.a Global Domination Project ;-)

"What I cannot create, I do not understand." -- Richard Feynman

The best way to start a journey is following a map. Or getting lost on every step on the way. This is a map, a hitchhiker's guide to Computer Science. We're going from Coding to Machine Learning in a creative and artistic way as much as possible. In the end of this journey, you'll accumulate enough knowledge to call yourself a computer hacker.

Every link will bring you to one YouTube video explaining the topic in the most conscise and fun way we were able to create. An opiniated guide to Computer Science delivered as weekly videos.

Why?

Staying sharp! The only way to master computer programming or AI is to practice it.
We're more and more entangled and dependent of tech, specially now with ML. We need to get more critical mass onboard by teaching people about tech and how to tame it.
YouTube and other social media/streaming platforms are loaded with ads and click-bait content. We want to create content that tells more with less, go straight on the topic, no bs.
Demyistifying the (math/coding) background behind our world.
Be practical and fun. Use creative coding as a tool to teach.
While going through it, give strong background to people be able to do code interviews on companies b/c one way to change our world is from inside-out.
Or you can start your own tech startup and change the world while being a conscious and skilled entrepeneur.
Learn and be part of amazing open source and hacker communities, being an active actor by contributing to it with our own code and ideas.

How?

Watching our videos :-) and other people's videos (see below), reading those references, jumping in online courses and specially...
Creating or contributing to fun open source projects!

The Map

Math Background
- Linear Algebra
- Calculus
- Probability and Statistics
- Math for (Creative) Coding
Computer Theory
- Finite Automata
- Context-Free Grammar
- Lambda Calculus
- Turing Machines
Hardware Architecture Design
- VMs
- Assembly
Operational Systems Design
Computers as Hackers and Coder Environments
- Linux
- Bash
- Git
- Vim / Emacs
- Unix Tools
- Your dot-files
Programming
- Big O
- Data Structures
  - Lists
  - Trees
  - Graphs
- Languages
  - Paradigms
    - Imperative
    - Logic
    - Functional
    - OO
    - Metaprogramming
  - C
  - C++
  - Python
- Design Patterns
Computer Graphics
- 3D
- Animation
- Games
  - Game Engine Design
Compilers and Interpreters
Networking
- Protocols
- Sockets
- P2P
AI
- Classical
  - Search
  - Optimization
  - Dynamic Programming
- ML
  - Neural Networks
    - Deep Learning
      - ConvNets
      - RNN
        
        LSTM
      - Transformers
System Design / Distributed Systems / Software Engineering
- Blockchains
Open Source / Free Software
- How to contribute
- Learning by reading code on GH
Application
- Coding Practice
  - Code Interviews
  - Competitive Programming
- Creative Coding
  - Music
  - Demos
  - Creative Tools as Art Expression
  - Esoteric Languages

References

We read a lot. Going through weird and interesting corners of the Interwebs is one of our beloved hobbies. Here you'll find some great references that inspired us to create.

Learning to learn
Learning to speak
- https://www.youtube.com/watch?v=HAnw168huqA
Math Background
- Linear Algebra
  - Linear Algebra, Prof. Gilbert Strang
  - Matrix Methods in Data Analysis, Signal Processing and Machine Learning, Prof. Gilbert Strang
- Calculus
  - http://calculusmadeeasy.org/
  - https://explained.ai/matrix-calculus/
- Probability and Statistics
  - An Introduction to Combinatorics
- Math for (Creative) Coding
  - Coding Math
  - Nature of Code
Computer Theory
- Finite Automata
- Context-Free Grammar
- Lambda Calculus
- Turing Machines
Hardware Architecture Design
- VMs
- Assembly
Operational Systems Design
Computers as Hackers and Coder Environments
- https://missing.csail.mit.edu/
- https://opguides.info/
- Linux
- Bash
- Git
- Vim / Emacs
- Unix Tools
- Your dot-files
Programming
- GH Learning to Code collection
- Google I/O 2009 - The Myth of the Genius Programmer
- LeetCode
- Geeks for Geeks
- Algorithmic Thinking
- Big O
  - https://www.bigocheatsheet.com/
- Data Structures
  - Lists
  - Trees
  - Graphs
- Languages
  - Paradigms
    - Imperative
    - Logic
    - Functional
    - OO
    - Metaprogramming
  - C
  - C++
    - https://isocpp.org/images/uploads/2-Tour-Basics.pdf
  - Python
    - The Hitchhikers Guide to Python
- Design Patterns
Computer Graphics
- 3D
- Animation
- Games
  - Game Engine Design
Compilers and Interpreters
Networking
- Protocols
- Sockets
- P2P
AI
- Classical
  - Search
  - Optimization
  - Dynamic Programming
- ML
  - https://mml-book.github.io/
  - http://themlbook.com/
  - Neural Networks
    - Deep Learning
      - LeCunn / Casiani 2020 class
      - Deep Learning Wizard
      - ConvNets
      - RNN
        
        LSTM
      - Transformers
System Design / Distributed Systems / Software Engineering
- System Design Primer - Really great!!
- How Google works
- Blockchains
Open Source / Free Software
- http://aosabook.org/en/index.html
- How to contribute
- Learning by reading code on GH

Similar Projects

Learning by creating projects from scratch.

Roadmaps

Tips / Quotes

"ABC (Always Be Coding). The more you code, the better you’ll get — it’s that simple. By coding, you’re practicing. But the best practice is focused practice. Have goals in mind, explore new areas, and challenge yourself. Over time, you should develop a portfolio of both unfinished and finished projects. GitHub is a great place to put this portfolio on display, but just having an eclectic body of work is huge." (from https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4)

"Improve and maintain, over time Once the rust is gone, and you’re fully prepped, it is dead easy to keep your CS and interview skills sharp: solve one coding question per day. I’ve been doing this for the past 3 years or so, and I’ve realized the following benefits: I’m never out of practice It helps flex mental muscles and improve critical thinking, the same way solving crossword puzzles, brain teasers or playing a game of chess might." (from https://medium.com/@nick.ciubotariu/ace-the-coding-interview-every-time-d169ce1fd3fc)