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Introduction

0:00

Code of Conduct

0:23

Speaker Introduction

0:47

Agenda

1:43

Data

6:30

Azure Portal

16:10

Premium Workspace

17:50

Create Cluster

19:00

Experiment

22:20

AutoML Experiment

23:00

Feature Store

24:10

Model Registry

24:40

ML Flow

25:30

Delta Lake

26:50

Data Lake

29:50

Notebooks

31:10

Notebook

32:10

DBFS

33:20

Data Breaks

36:10

Count Rows

37:40

Feature Engineering

37:55

Missing Data

38:20

Imputing

38:40

Cyclic

41:30

Data Types

44:30

Data Scaling

44:50

ML Pipeline

46:00

MLFlow

47:10

Model Tracking

47:30

Tags

48:00

Azure ML Workspace

48:50

Experiment Section

51:10

Learn Section

52:05

Deployment

52:20

API Endpoint

53:30

Learn Module

54:30

Questions

55:50

MS Learn

56:50

Contact

59:00
Build and Operate Machine Learning Solutions with Azure Databricks
21Likes
1,773Views
2022Mar 30
Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this workshop, you'll learn how to use Azure Databricks to explore, prepare, and model data and integrate with Azure Machine Learning. The session will focus on Azure services and related products like Azure Machine Learning Service,Azure Databricks,Spark ML & MLflow You will automate the process of hyperparameter tuning to identify the best model more easily. Further Learning : https://aka.ms/AzureDatabricks-LM-29/3 Speaker : Shivam Sharma Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies. Social Handle LinkedIn -   / shivam-sharma-9828a536   Twitter -   / shivamsharma_ts   Facebook -   / tsshivamsharma   [eventID:15611]

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Microsoft Reactor

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