| --- |
| license: mit |
| task_categories: |
| - text-generation |
| - question-answering |
| language: |
| - en |
| tags: |
| - machine-learning |
| - artificial-intelligence |
| - neural-networks |
| - aheadmint |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # 📚 Machine Learning & AI Technical Glossary Dataset |
|
|
| Curated benchmark dataset covering core terminology, mathematical formulations, and engineering principles across Deep Learning, Transformers, and MLOps. |
|
|
| Maintained and documented by **[AheadMint](https://www.aheadmint.com)**. |
|
|
| --- |
|
|
| ## 📌 Dataset Overview |
|
|
| | Category | Key Concepts | Reference Documentation | |
| | :--- | :--- | :--- | |
| | **Neural Networks** | Backpropagation, Attention, Loss Functions | [AheadMint Deep Learning](https://www.aheadmint.com) | |
| | **Generative AI** | RAG Architectures, Vector Embeddings, Fine-Tuning | [AheadMint AI Hub](https://www.aheadmint.com) | |
| | **Data Engineering** | Feature Stores, Data Pipelines, ETL Scaling | [aheadmint.com](https://www.aheadmint.com) | |
|
|
| --- |
|
|
| ## 🔗 Official Documentation |
| Full architecture breakdowns, production code walkthroughs, and research analyses are available on the official publication: |
| 👉 **[AheadMint Official Publication](https://www.aheadmint.com)** |
