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這是為期5天的Data Science和AI入門。
本課程隨附使用Python示例和練習
Data Science/AI 簡介
- 通過數據獲取知識
- 知識表示
- 價值創造
- Data Science 概述
- 人工智慧生態系統和新的分析方法
- 關鍵技術
Data Science 工作流程
- 脆-dm
- 數據準備
- 模型規劃
- 模型構建
- Communication
- 部署
Data Science 技術
- 用於原型設計的語言
- 大數據技術
- 常見問題的端到端解決方案
- Python 語言簡介
- 將 Python 與 Spark 集成
人工智慧 Business
- 人工智慧生態系統
- 人工智慧倫理
- 如何在業務中推動 AI 的發展
數據源
- 數據類型
- SQL 與否SQL
- 數據存儲
- 數據準備
Data Analysis – 統計方法
- 概率
- Statistics
- 統計建模
- 使用 Python 的業務應用程式
機器學習在商業中的應用
- 受監督與無監督
- 預測問題
- 分類問題
- 聚類問題
- 異常檢測
- 推薦引擎
- 關聯模式挖掘
- 使用 Python 語言解決ML問題
深度學習
- 傳統 ML 演算法失敗的問題
- 用 Deep Learning 解決複雜問題
- Tensorflow 簡介
自然語言處理
數據可視化
- 建模的可視化報告結果
- 可視化中的常見陷阱
- 使用 Python 進行數據可視化
從數據到決策 – 溝通
- 產生影響：數據驅動的故事講述
- 影響效果
- 管理 Data Science 個專案
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