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ML in Azure Databricks Mahesh Balija 4/15/2019 1:36 PM

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Presentation on theme: "ML in Azure Databricks Mahesh Balija 4/15/2019 1:36 PM"— Presentation transcript:

1 ML in Azure Databricks Mahesh Balija 4/15/2019 1:36 PM
Cloud Solution Architect © Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

2 Azure Databricks Higgs Boson Challenge Azure ML Service Agenda

3 Machine Learning Process
Raw Data Vectors Model Model Model Vectorization Modelling Testing Explainability Operationalize Vectors Model Accuracy Trust

4 Scale-out ML

5 Databricks ML

6 Spark ML Concepts

7 Spark ML Pipelines Estimator Fit ML Pipeline Transform Transformer

8 Datastructures Dataset Dataframe Scale-Out Pandas DataFrame
Single-Node RDD Numpy Arrays

9 Azure Databricks & Scikit-Learn
Source:

10 Azure Machine Learning: Technical Details

11 Data Science Challenges

12 Azure ML service Workspace Key Artifacts Models Images Experiments
Deployment Pipelines Data Stores Compute Target

13 AML Compute Targets

14 Compute Targets

15 AML Deployment Choices

16 Deploy Models

17 Auto-ML

18 Hyper-Parameter Tuning Process
Re-process the Feature Vectors Algorithm Selection Tune the config Test model accuracy Step 3 Step 2 Step 1

19 Hyper-parameter tuning
Auto ML Sit back & Relax Select Algorithm Choose Compute Target Hyper-parameter tuning Best Model Produced! Configure Run Test Auto ML

20 Model Explainability

21 (Husky Vs Wolf) Because of above Model Predicts Husky as Wolf

22 Azure ML SDK APIs

23 Azure Machine Learning Service
Deploy Train on Cloud Or On-Prem Project Brainwave Cloud-based Databricks (or) Azure Notebooks Databricks / AML Compute ACI/AKS On-Prem (Local) DSVM/ DLVM Jupyter Notebook Server (Or) IDE’s Azure IoT Edge

24 Data Science Project Workflow
Create Azure ML Service Workspace Create Azure ML Service Workspace Create Azure ML Service Workspace Create Azure ML Service Workspace Register the Model in Model Registry Data Science Project Workflow Configure compute plane Configure compute plane Configure compute plane Configure compute plane Check-in container image Azure Portal/Python SDK Azure Portal/Python SDK Azure Portal/Python SDK Azure Portal/Python SDK Azure ML SDK Azure ML SDK Azure ML SDK Azure ML SDK Model Versioning Model Versioning ACR Setup development Environment Setup development Environment Setup development Environment Setup development Environment Containerize the model Containerize the model Containerize the model Docker container Docker container Azure ML SDK Azure ML SDK Azure ML SDK Run the experiments Run the experiments Deploy into Production

25 Best of Databricks and AML Service

26 Higgs Boson Dataset

27 God Particle

28 Tau Particle S B

29 Training Data EventId,DER_mass_MMC,DER_mass_transverse_met_lep,DER_mass_vis,DER_pt_h,DER_deltaeta_jet_jet,DER_mass_jet_jet,DER_prodeta_jet_jet,DER_deltar_tau_lep,DER_pt_tot,DER_sum_pt,DER_pt_ratio_lep_tau,DER_met_phi_centrality,DER_lep_eta_centrality,PRI_tau_pt,PRI_tau_eta,PRI_tau_phi,PRI_lep_pt,PRI_lep_eta,PRI_lep_phi,PRI_met,PRI_met_phi,PRI_met_sumet,PRI_jet_num,PRI_jet_leading_pt,PRI_jet_leading_eta,PRI_jet_leading_phi,PRI_jet_subleading_pt,PRI_jet_subleading_eta,PRI_jet_subleading_phi,PRI_jet_all_pt,Weight,Label 100000,138.47,51.655,97.827,27.98,0.91, ,2.666,3.064,41.928,197.76,1.582,1.396,0.2,32.638,1.017,0.381,51.626,2.273,-2.414,16.824,-0.277, ,2,67.435,2.15,0.444,46.062,1.24,-2.475, , ,s Sources

30 4/15/2019 1:36 PM Its Demo Time! © Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

31 Call for Action Subject Link Azure Databricks
Azure ML Service Azure ML SDK Azure Citadel Git Hub Labs AML Service Labs

32 We’d love your feedback
4/15/2019 1:36 PM We’d love your feedback Aka.ms/SQLBits19 © Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.


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