automl
14 時間： 同常來說包括休息是 2天
Audience
automl 是一種方便使用的機器學習軟體, 它自動完成選擇理想的機器學習演算法、其參數設置和預處理方法所需的大量工作。
本教師指導的現場培訓 (現場或遠端) 針對具有機器學習背景的技術人員, 他們希望優化用於檢測大資料中複雜模式的機器學習模型
到本次培訓結束時, 學員將能夠:
格式
課程自訂選項
Machine Translated
Introduction
Setting up a Working Environment
Overview of AutoML Features
How AutoML Explores Algorithms
Solving Problems by Use-Case
Solving Problems by Training Data Type
Data Privacy Considerations
Cost Considerations
Preparing Data
Working with Numeric and Categorical Data
Working with Time Dependent Data (Time-Series Data)
Classifying Raw Text
Classifying Raw Image Data
Deploying an AutoML Method
A Look at the Algorithms Inside AutoML
Ensembling Different Models Together
Troubleshooting
Summary and Conclusion
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