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