• Bayesian – Getting there
• Stronger grasp of basic statistics in general

Resources:

• https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
• https://www.reddit.com/r/statistics/comments/gzv74a/q_learning_statistics_by_yourself/

• Regression
• Deep Learning

Resources:

• https://www.quantstart.com/articles/
• https://www.fast.ai/

• How many are there?
• How does Paxos work?
• How does Multi-Paxos work?
• How does Raft work?
• Implement at least 1 (Preferably in Rust)

• What’s in a file?
• File formats
• File system structure

Resources:

• http://digi-cron.com/filesystems.html
• https://www.cs.uic.edu/~jbell/CourseNotes/OperatingSystems/12_FileSystemImplementation.html
• https://cseweb.ucsd.edu/classes/sp16/cse120-a/applications/ln/lecture15.html
• http://odiemus.cz/mirrors/tanenbaum/tanenbaum/FILE-SYSTEMS.html

• CAP theorem in relation to distributed systems
• General architecture of distributed systems
• Issues in distributed systems and how to mitigate them

Resources:

• Designing Data-Intensive Applications

• Steps of a compiler
• How to parse a file

Resources:

• https://craftinginterpreters.com/

• How do things get rendered?
• What does the architecture look like?

• Understand the internals properly

Resources:

• https://blog.isquaredsoftware.com/2020/05/blogged-answers-a-mostly-complete-guide-to-react-rendering-behavior/

• How does it work?
• How does buying/trading it work?

Resources:

• https://ethereum.org/en/learn/