Machine Learning — Knowledge Base

A curated collection of 2,288 articles on Machine Learning, Deep Learning, Data Science, Python, and AI — maintained by xbe.at.

Topics

Folder	Articles	Description
Python	511	Python programming, OOP, best practices, packages
Machine-Learning	503	Classical ML algorithms, techniques, model evaluation
Deep-Learning	298	Neural networks, CNNs, RNNs, optimizers, GANs
Misc	216	Cross-cutting topics, curiosities, tools
LLMs-and-GenAI	179	Large language models, RAG, agents, prompt engineering
Statistics-and-Math	138	Probability, statistics, linear algebra, calculus
NLP-and-Transformers	118	NLP, BERT, attention mechanisms, text classification
Data-Science	108	Pandas, NumPy, EDA, data cleaning, feature engineering
Data-Visualization	69	Matplotlib, Seaborn, charts, dashboards
Computer-Vision	48	CNNs, object detection, segmentation, transfer learning
Data-Engineering	40	SQL, Spark, Kafka, ETL pipelines, databases
Web-and-APIs	34	FastAPI, Django, Flask, REST, authentication
MLOps-and-Deployment	17	Docker, CI/CD, model serving, experiment tracking
Reinforcement-Learning	9	Q-learning, policy gradients, RL with Python

All articles are published on xbe.at — a technical blog covering the full ML/AI stack, from mathematical foundations to production deployment.

Each article is a standalone Markdown guide with explanations, Python code examples, and visual aids.