Course Code: radvml
Duration: 21 hours
Prerequisites:
  • R 程式設計經驗
  • 了解機器學習概念
Overview:

在這個由講師指導的現場培訓中，參與者將學習 Machine Learning with R 的高級技術，同時逐步創建真實世界的應用程式。

在本次培訓結束時，參與者將能夠：

  • 瞭解並實施無監督學習技術
  • 應用聚類和分類，根據真實數據進行預測。
  • 可視化數據以快速獲得洞察、做出決策並進一步優化分析。
  • 使用超參數優化提高機器學習模型的性能。
  • 將模型投入生產，以便在更大的應用程式中使用。
  • 應用高級機器學習技術來回答涉及社交網路數據、大數據等的問題。

觀眾

  • 開發人員
  • 分析師
  • 數據科學家

課程形式

  • 部分講座、部分討論、練習和大量動手實踐
Course Outline:

介紹

設置 R 開發環境

深度學習與神經網路與 Machine Learning

構建無監督學習模型

案例研究：使用現有數據預測結果

準備用於分析的測試和訓練數據集

聚類數據

對數據進行分類

可視化數據

評估模型的性能

遍曆模型參數

超參數調優 

將模型與實際應用程式集成

部署 Machine Learning 應用程式

故障排除

總結和結論

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