Azure Automated Machine Learning | 2023

Welcome to our YouTube video where we explore Azure Machine Learning service and demonstrate the process of setting up Automated ML. If you're a developer seeking an accessible solution for machine learning, automated ML should be your top preference. Join us as we delve into the world of automated ML in this exciting video! 🔗 Links: Blog: https://bit.ly/43JQAND Official Site Azure : https://azure.microsoft.com/en-in/products/machine-learning/automatedml/?cdn=disable#overview ⏰ Key Moments: 00:00 - Introduction 00:49 - Why use Automated ML? 01:42 - Why is this service in demand? 02:47 - Which companies use Automated ML? 03:22 - Automated ML, ML Designer (Terms) 04:50 - ML Service Demo | Azure Portal 05:45 - Creating ML Workspace | Piece 1 06:46 - A note on Resource Group | How to cut Azure Bill cost after done with work | Stop unnecessary unused Service 09:25 - Review before creating ML workspace 12:59 - Workspace Deployment Complete 13:32 - Understanding Compute and Dataset 16:00 - Launching ML Studio | What is ML Studio? 16:36 - Creating Compute | Piece 2 18:56 - Noting different Piece names in Notepad 21:31 - Creating Dataset | Using Diabetes Sample Data | Piece 3 25:58 - Understanding about Datasource - import file, Azure Storage Account, Open AI Dataset 29:10 - Reviewing Created Data - Diabetes Data 30:05 - Understanding Columns - Label (output) vs Features (input) 31:56 - Noting Dataset name 32:16 - Creating Automated Model | Piece 4 32:32 - Automated ML Demo | Creating First Experiment | Azure Job 35:44 - Choosing Right ML Model Type - Classification vs Regression vs others 38:04 - Choosing Metrics for Model | Normalized Root Mean Square Error detection 39:16 - How to make Training Fast? Choosing Selecting Model 40:46 - Review Running Automated ML Job 43:17 - Using Existing Job for Automated Model Review 43:51 - Exploring Automated ML | Training that completed 44:17 - Understanding Best Model Chosen by Azure | Based on Normalized Root Mean Square Error detection | Due to less error 46:37 - Deploy Model | Best Chosen Model 50:10 - Reviewing Successfully deployed Model 53:44 - Testing Model by passing JSON data | Passing features of our data | Diabetes Dataset 54:40 - For Developers integrating in Apps | Python, C#, R languages | REST endpoint 56:24 - Closing Reviews 57:25 - Wrap Up Connect with me 👋 LINKEDIN ► https://www.linkedin.com/in/amirmustafa1 TWITTER ► https://twitter.com/amir__mustafa INSTAGRAM ► https://www.instagram.com/aamir__mustafa #automatedml #machinelearning #artificialintelligence #azure #developer