Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Azure mltocustomyourai_dotnetconf2019tw

193 views

Published on

.Net Conference會場上分享Azure ML 服務的投影片

Published in: Data & Analytics
  • Login to see the comments

Azure mltocustomyourai_dotnetconf2019tw

  1. 1. 探索 .NET 新世界 Host by
  2. 2. 陳潔寧 Ning Data For Social Good 顧問 Data For Social Good 專任顧問,輔導過社會及環保相 關議題的資料分析案, R-Ladies Taipei Co-Founder 2017、2018、2019年在AI類別取得微軟MVP殊榮,活 耀於AI、機器學習相關研究、社群、競賽活動並且多場 海內外AI相關專題演講經驗。帶領AI團隊與台北市社會 救助科拿到聯發科「智在家鄉」百萬首獎。
  3. 3. Extract intent Detect empty shelvesExtract identity frameworks TensorFlow KerasPytorch Onnx ML Pre-built, customizable services face OCR text vision speech translation QnA ...... use case featuresF1 F2 F3 F4 how deep in the stack?
  4. 4. frameworks TensorFlow KerasPytorch Onnx ML Pre-built, customizable services face OCR text vision speech translation QnA ...... effort pioneer expert developer everyone generic specialized technology
  5. 5. Machine Learning on Azure Domain specific pretrained models To simplify solution development Popular frameworks To build advanced deep learning solutions Productive services To empower data science and development teams Powerful infrastructure To accelerate deep learning Familiar data science tools To simplify model development From the Intelligent Cloud to the Intelligent Edge Azure Databricks Machine Learning VMs TensorFlowPyTorch ONNX LanguageSpeech … DecisionVision Scikit-Learn Azure Notebooks JupyterVisual Studio Code Command line Azure Machine Learning CPU GPU FPGA Web search
  6. 6. 資料取得 資料分析 人為行動 無 結 構 資 料 傳統:問卷、網站、 監測站、人工輸入 影像辨識 爬蟲 語音辨識 文字探勘 有 資 料 決策 決策支援 處方性 我該怎麼做 預測性 將會發生什麼事? 診斷性 為什麼會發生什麼事? 描述性 發生什麼事? 行動 決策自動化 外部資料:外部資 料庫、開放資料
  7. 7. 資料取得 資料分析 人為行動 無 結 構 資 料 傳統:問卷、網站、 監測站、人工輸入 影像辨識 爬蟲 語音辨識 文字探勘 有 資 料 決策 決策支援 處方性 我該怎麼做 預測性 將會發生什麼事? 診斷性 為什麼會發生什麼事? 描述性 發生什麼事? 行動 決策自動化 外部資料:外部資 料庫、開放資料
  8. 8. 資料取得 資料分析 人為行動 無 結 構 資 料 傳統:問卷、網站、 監測站、人工輸入 影像辨識 爬蟲 語音辨識 文字探勘 有 資 料 決策 決策支援 處方性 我該怎麼做 預測性 將會發生什麼事? 診斷性 為什麼會發生什麼事? 描述性 發生什麼事? 行動 決策自動化 外部資料:外部資 料庫、開放資料
  9. 9. 資料取得 資料分析 人為行動 無 結 構 資 料 傳統:問卷、網站、 監測站、人工輸入 影像辨識 爬蟲 語音辨識 文字探勘 有 資 料 決策 決策支援 處方性 我該怎麼做 預測性 將會發生什麼事? 診斷性 為什麼會發生什麼事? 描述性 發生什麼事? 行動 決策自動化 外部資料:外部資 料庫、開放資料
  10. 10.
  11. 11. https://docs.microsoft.com/zh- tw/dotnet/machine-learning/how-does- mldotnet-work
  12. 12. Azure Machine Learning
  13. 13. End to end lifecycle managementSimplified machine learning Open platform
  14. 14. End to end lifecycle managementSimplified machine learning Open platform
  15. 15. Automated machine learning UI Visual interface Machine learning notebooks New capabilities in Azure Machine Learning service
  16. 16. Visual interface Machine learning notebooks Automated machine learning UI New capabilities in Azure Machine Learning service
  17. 17. Automated machine learning UI Machine learning notebooks Visual interface New capabilities in Azure Machine Learning service
  18. 18. Automated machine learning UI Visual interface Machine learning notebooks New capabilities in Azure Machine Learning service
  19. 19. End to end lifecycle managementSimplified machine learning Open platform
  20. 20. DevOps MLOps Code testing Code reproducibility App deployment Model retraining Model validation Model reproducibility Model deployment
  21. 21. App developer using Azure DevOps MLOps with Azure Machine Learning Build appCollaborate Test app Release app Monitor app Model reproducibility Model retrainingModel deploymentModel validation Data scientist using Azure Machine Learning
  22. 22. MLOps with Azure Machine Learning Code, dataset, and environment versioning Model reproducibility Model retrainingModel deploymentModel validation Build appCollaborate Test app Release app Monitor app App developer using Azure DevOps Data scientist using Azure Machine Learning
  23. 23. MLOps with Azure Machine Learning Model validation & profiling Model reproducibility Model retrainingModel deploymentModel validation Train model Validate model Build appCollaborate Test app Release app Monitor app App developer using Azure DevOps Data scientist using Azure Machine Learning
  24. 24. MLOps with Azure Machine Learning Model packaging Simple deployment across cloud and edge Model reproducibility Model retrainingModel deploymentModel validation Train model Validate model Deploy model Build appCollaborate Test app Release app Monitor app App developer using Azure DevOps Data scientist using Azure Machine Learning
  25. 25. MLOps with Azure Machine Learning Model management & monitoring Model performance analysis Model reproducibility Model retrainingModel deploymentModel validation Train model Validate model Deploy model Monitor model Retrain model Build appCollaborate Test app Release app Monitor app App developer using Azure DevOps Data scientist using Azure Machine Learning
  26. 26. MLOps with Azure Machine Learning Train model Validate model Deploy model Monitor model Retrain model Model reproducibility Model retrainingModel deploymentModel validation Build appCollaborate Test app Release app Monitor app Azure Machine Learning extension for Azure DevOps App developer using Azure DevOps Data scientist using Azure Machine Learning
  27. 27. MLOps with Azure Machine Learning Model reproducibility Model retrainingModel deploymentModel validation Train model Validate model Deploy model Monitor model Retrain model Build appCollaborate Test app Release app Monitor app Audit trail management and model interpretability App developer using Azure DevOps Data scientist using Azure Machine Learning
  28. 28. Thanks
  29. 29. 特別感謝

×