Azure Machine Learning 101

Explore the fundamentals of Azure Machine Learning in this comprehensive conference talk from PASS Data Community Summit. Discover how Azure ML simplifies the creation and deployment of machine learning models without requiring advanced coding skills. Learn about built-in data transforms, configurable models, and easy deployment options. Gain insights into supervised learning, clustering, and outlier detection. Follow along as the speaker demonstrates the Azure Machine Learning Designer, explores the Algorithm Cheat Sheet, and showcases the Automated ML feature. Understand how to visualize data, create pipelines, and publish models. Get hands-on experience with adding columns, configuring settings, and integrating with Power BI. Perfect for both experienced machine learning practitioners curious about Azure ML and those new to data science and machine learning concepts.

Intro
Please silence your cell phones
Pass is amazing
Kathis background
Session evaluations
What is machine learning
Supervised learning
Clustering outliers
Formula
Data Science Tools
Azure Machine Learning Designer
Algorithm Cheat Sheet
Launching Azure Machine Learning Studio
Why the name is not useful
Adding columns
Visualizing the data
Pipelines
Automated ML Demo
Additional Configuration Settings
Passenger Name
Training Time
Power BI
Automated Machine Learning
Publish Pipelines
Virtual Machine
New Project
Add Machine Learning