Update or CHANGELOG are recorded here: MLOps Notebooks: Daily Learning

All the implementations are running with this current specs and Google Colab Pro.

Approximately 2 hours/day to learn or update some implementations. On my calender is set from 5.00 - 7.00 (maybe i will provide some sheets later), but if i still as a morning person.

The Hopes that can be implement for this repo:

• What is 'Machine Learning' or 'Artificial Intelligence' in general and productions.
• Operations for Implementations
• Imitating training-data-analyst, but be more encyclopedic ways for MLOps.
• Well, just my preferable ways to learn for the swe + ml/ops + devops in programmic way, So not just only the theoritical thigs.
• can be maintainble as Open Source, specifically for Indonesian Developers
• Critical Thinking > Traditional Thinking
• Frameworks?? we will see ;)

1. binding: Well, we can learn why distinguished nn framework needs to be implemented for the other OOP paradigms programming languages.
2. device: Programmatic ways to served and used the ml/ai resources on types of applications.
3. docs: Some interesting parts of resources will be surf on internet.
4. examples: Not just learn the basics, but completely true that must used to real use-case examples.
5. extra: some research implementations.
6. paradigm: The core of ml/ai. if you don't understand paradigms, maybe kind of like 'zombie' or 'stupid'.
7. test: we need TDD implementations for some sources so it'll clean and maintainable.

For now, this repo only dedicated for myself. So, hopefully we can work together in more futures.