SUMMARY AI要約 by gpt-5-mini
AI Engineering Journey is a personal repository by Alperen documenting a practical, production-oriented path to become an AI engineer. Intended for the author and learners seeking hands-on practice, it emphasizes applied skills: Python engineering, ML/DL, RAG/LLM apps, AI agents, MLOps, cloud deployment, and evaluation/monitoring. The learning loop is learn → build → commit → document, and every folder must contain proof-of-work (scripts, notebooks, tests, reports, demos, or deployment artifacts). Key features and artifacts: - Git hooks enforcing Conventional Commits - mypy strict typing and unit tests (pytest) - shell tools and runnable check scripts - linear algebra demos (vectors, matrix multiplication, benchmarks, text similarity) - data pipeline examples (cleaning, feature building), SQL examples, EDA and reports - baseline ML classifier and weekly progress summaries
使用言語(バイト数比)
オーナー情報
Third year computer engineering student in Türkiye
日付
| GitHub作成日 | 2026-05-02 |
| 最終Push | 2026-05-09 |
| 当サイト初検出 | 2026-05-09 |
| 最終取得 | 2026-05-09 18:17 |
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