📚 Notes

A personal knowledge base with 50+ notes on AI, ML, and software engineering.

 

✨ Overview

This repository serves as a central hub for capturing and structuring information across multiple domains. It is a personal knowledge management system designed for efficient learning, quick reference, and the long-term storage of notes, summaries, and important concepts.

Guiding Principles:

• Categorized & Organized: Notes are grouped into numbered directories for easy navigation
• Simple & Scalable: Structure accommodates new subjects without becoming cluttered
• Future-Proof & Portable: Plain-text Markdown ensures long-term accessibility

 

📖 Index

🤖
AI Foundations

Note	Topic
AI Concepts Explained	Core AI terminology and concepts
Types of AI	Classification of AI systems
Crystallized vs Fluid Intelligence	Cognitive science concepts

🧠
Machine Learning Models

Note	Topic
Transformers	Architecture behind GPT, BERT, etc.
Backpropagation	Neural network training
Gradient Descent	Optimization algorithms
CNN	Computer vision networks
GAN	Generative models
LSTM	Recurrent networks
Random Forest	Ensemble methods
KNN	Instance-based learning
Autoencoders	Dimensionality reduction
RBM	Generative models
Supervised vs Unsupervised	Learning paradigms

🚀
Generative AI & LLMs

Note	Topic
Large Language Models	LLM fundamentals
Prompt Engineering	Effective prompting techniques
AI Agents	Agent architectures
LangGraph & Agents	Agent frameworks
Multi-Agent Systems	Collaborative agents
RAG	Retrieval-Augmented Generation
Graph RAG	Graph-based retrieval
Vector Databases	Embedding storage
Knowledge Graphs	Structured knowledge
Foundation Models	Large pretrained models
MCP	Model Context Protocol
Text Splitting	Chunking strategies

📊
Data Science & Analysis

Note	Topic
NLP	Text processing
PCA	Dimensionality reduction
Monte Carlo	Statistical simulation
Forecasting Pitfalls	Common mistakes

⚙️
MLOps & Data Architecture

Note	Topic
MLOps	ML operations
Data Fabric	Data architecture
Federated Learning	Privacy-preserving ML
Paradigms in AI	AI approaches

💻
Software Engineering

Note	Topic
REST API Design	API best practices
Dockerfile	Container best practices
Type Hints	Python typing
Simpler Code	Code quality tips
Software Design	Design process
MCP vs API	Protocol comparison
Code Diagnosis	Debugging techniques
Function Headers	Documentation

🔧
Frameworks & Libraries

Note	Topic
NLTK vs spaCy	NLP libraries
NumPy vs Pandas	Data libraries
NumPy vs SciPy	Scientific computing

📘
Programming Languages

Note	Topic
C vs C++ Syntax	Language comparison

🛠️
Tools & Software

Note	Topic
MPV Hotkeys	Media player shortcuts

 

📝 How to Add New Notes

1. Identify the Category: Find the most relevant numbered directory
2. Create the File: Add a new .md file with kebab-case naming
3. Update this Index: Add a row to the appropriate table above