Microsoft Azure Machine Learning Tutorial | Azure Machine Learning Studio | Intellipaat
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In this video on how to deploy a machine learning model on the cloud you will learn what is azure, azure services, azure and data science, what is machine learning, how machine learning works, how to build a machine learning model, how to deploy the machine learning model on Azure cloud, Azure Machine learning studio, how to deploy a machine learning model without coding. This is a must-watch session for everyone who wishes to learn Machine learning and Cloud to make a career in it.
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🔵 Following topics are covered in this session:
00:00:00 - Introduction to Azure Machine Learning
00:01:52 - What is Azure
00:03:27 - Azure Regions
00:06:27 - Which Azure Region is Right for me?
00:09:43 - Azure Region Pairs
00:11:01 - Azure Pairs Benefits
00:12:40 - Azure Availability Zones
00:15:21 - Azure Datacenters
00:16:15 - Azure Storage Availability
00:19:03 - Azure Services
00:26:48 - Azure Feature Availability
00:27:47 - Azure Subscription
00:53:11 - Azure Portal
00:55:31 - Azure Cloud Shell
00:57:06 - Azure Policy
01:06:12 - Azure User and Groups
01:19:49 - Role based Access Control
01:23:38 - Administrator Permissions
01:25:09 - Resource scope
01:28:27 - IAAS Cloud Services
01:33:42 - Start with the network
01:50:50 - Storage Options
01:56:11 - Creating VM in the Portal
02:12:41 - Introduction to Data Science Process
02:23:02 - Model Training Cycle
02:28:57 - Data Preparation
02:39:14 - Model Deployment
02:39:58 - Azure Data Science Options
02:42:09 - Azure Data Science Virtual Machines
02:46:11 - Azure Machine Learning Studio
02:47:59 - Why SQL Server /Machine Learning Server ?
02:48:47 - Spark on Azure HDInsight
02:49:34 - Azure Databricks
03:03:07 - What is Azure Machine Learning Services
03:07:05 - What are Containers
03:11:34 - AML services within the Data Science Pipelines
03:18:21 - What is Workspace?
03:24:52 - Azure Machine Learning Steps
03:34:12 - Deployment Targets
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