“machine learning”

Master machine learning foundations - algorithms, preprocessing, feature engineering, and evaluation

Compatibility route for older GNOS learning invocations; continue through learning-orchestrator.

High-performance numerical computing and machine learning workflows using JAX.

Pharmaceutical machine-learning workflow guide for library profiling, molecular featurization, benchmark dataset fetch, medicinal-chemistry filtering, and…

Runs molecular machine learning with DeepChem — diverse featurizers, pre-built MoleculeNet benchmark datasets, and pre-trained models (ChemBERTa, GROVER) for…

ML experiment tracking, model registry, and deployment with MLflow for reproducible machine learning workflows.

Implement Amazon Macie to automatically discover, classify, and protect sensitive data in S3 buckets using machine learning and pattern matching for PII…

Safely reproduce and audit machine learning paper results with full traceability.

Hygiene for machine-learning training runs and comparisons — what to save while a run is in flight, how to keep runs from overwriting each other, and what…

Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas…

把课题拆成连续学习文章，并根据用户反馈调整后续深度、角度和节奏。用户要求系统学习一个主题、继续下一篇或按反馈调整课程时使用。

Comprehensive geospatial science skill covering 70+ topics in remote sensing, GIS, spatial analysis, and machine learning for Earth observation.

Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains.

Expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems.

会话开始或不确定该用哪个笔记技能时触发：先读本技能完成路由，再动手。任何笔记库任务的第一步。

This skill should be used when working with genomic interval data (BED files) for machine learning tasks.

把新材料（课堂记录、截图转写、论文、网页）整理成规范笔记并入库时触发。

出现断链、孤儿笔记、新笔记未入索引，或用户要求梳理笔记间关系时触发。

用户要求润色、校对、统一术语或改善某篇/某批笔记的文字表达时触发。只改语言不动技术结论。

dontbesilent 交互式学习。把一个课题拆成连续学习文章，根据用户在上一篇中的反馈调整下一篇的深度、角度和节奏。 触发方式：/dbs-learning、/dbs-learn、/交互式学习、「带我学一个课题」「继续下一篇」「根据我的反馈写下一篇」 Interactive learning workflow.

Adapt pstack delegation, role configuration, skill paths, verification, and session handling to Claude Code or Codex.

每周定时或用户要求"自迭代/再优化一轮"时触发。全自动：Propose→Probe→闸门→自动采纳/否决→提交→摘要推送，不等人工确认。

Expert data scientist for advanced analytics, machine learning, and statistical modeling.

笔记含公式且要修改正文、或用户报告公式渲染/书写问题时触发。公式是红线资产，先守后改。