課程簡介
介紹
- RAPIDS 功能和元件概述
- GPU 計算概念
開始
- 安裝 RAPIDS
- cuDF、cUML 和 Dask
- 基元、演算法和 API
管理和訓練數據
- 數據準備和 ETL
- 使用 XGBoost 建立訓練集
- 測試訓練模型
- 使用 CuPy 陣列
- 使用 Apache Arrow 資料框
可視化和部署模型
- 使用 cuGraph 進行圖形分析
- 使用 Dask 實現 Multi-GPU
- 使用 cuXfilter 創建互動式儀錶板
- 推理和預測示例
故障排除
摘要和後續步驟
最低要求
- 熟悉 CUDA
- Python 程式設計經驗
觀眾
- 數據科學家
- 開發人員
客戶評論 (5)
範例/練習完全適合我們的領域
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
機器翻譯
培訓師非常樂意回答我所做的所有問題
Caterina - Stamtech
Course - Developing APIs with Python and FastAPI
機器翻譯
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
傳授培訓師的實踐知識和經驗。
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
Course - GUI Programming with Python and PyQt
機器翻譯
As I was the only participant the training could be adapted to my needs.