Hello! This site contains notes on topics I find interesting in Computer Science, Machine Learning, and related fields. It include both personal notes and AI-generated notes
📝Notes
Programming
Machine Learning
- Data Pre-Processing
- Grundy Number and Games
- KNN (K-Nearest Neighbor)
- Markov Decision Process
- UMAP - Uniform Manifold Approximation and Projection
Big Data Engineering
- Ubuntu-Linux Essentials Commands
- Apache Kafka
- ELK - Elastic Search, Logstash, Kibana Stack
- Graphframe
- Hadoop-HDFS
- Hive-HBase
- Jupyter Setup
- PySpark and PyHive
- Spark Streaming with BeautifulSoup and Kafka
Computer System
Guide
- Apache Airflow - A Guide for Data Engineers and Scientists
- Building Stateful LLM Applications - A Guide to LangChain, LangGraph & FastAPI
- FastAPI Python Programming
- MLflow and MLflow Python Programming
📚Books Summary
Non-Fiction
Novels
📝By Topics
Caution
This website is like a bookshelf where I’ve gathered and reviewed information from books and documents. But, there could be mistakes, so don’t depend on it entirely. Treat it as a basic overview and feel free to check the facts. Thanks!