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Part 3 — Crypto Quantitative Trading Part 3: Optimization, Validation, and Production Deployment

Complete guide to deploying quantitative crypto trading strategies to production. Learn validation techniques, optimization methods, live trading APIs, monitoring systems, and ML enhancements. Includes full AWS deployment architecture and Docker containerization.

·30 min
4

Part 4 — AI 工程從零開始|Phase 2 Part 2:集成學習與最佳化 — 超越單一模型的上限

深入解析 Random Forest、Gradient Boosting、XGBoost、超參數調優與 AutoML,理解集成方法為何在表格資料競賽與生產系統持續稱霸

·23 min
4

Part 4 — AI Forward Deployed Engineer 必備技能指南(四):生產環境 AI 系統監控與最佳化

深入探討生產環境 AI 系統的全方位監控策略、效能最佳化技術、故障診斷流程與成本管理實務

·20 min

把站台從 3.1GB 砍到 503MB:finance_data 部署效能調校全紀錄

finance_data 是一個由 ~42 個每日分析任務自動產生報告的 MkDocs 站台,膨脹到搜尋索引 195MB、首頁 1MB、單次部署 752MB、CI 跑 15 分鐘。這篇拆解我們用六個改動把它降到搜尋索引 0.86MB、首頁 53KB、部署 387MB、CI 6.5 分鐘的完整過程與設計取捨。

·16 min

AWS DynamoDB Complete Guide: Architecture, Indexing & Performance Optimization

Comprehensive guide to AWS DynamoDB covering data structures, architecture, indexing strategies, secondary indexes, sort keys, and performance optimization techniques for high-speed I/O operations.

Database Performance Optimization: From Slow Queries to Sub-millisecond Response Times

A comprehensive guide to database performance optimization techniques that helped us reduce query response times from seconds to milliseconds.

·15 min