Explore the power of Azure Machine Learning in this 55-minute conference talk from PASS Data Community Summit. Discover how to leverage existing data to answer critical business questions through advanced analytics. Learn to classify data for machine learning analysis, select appropriate ML models, and integrate custom analysis methods. Gain insights into expanding ML capabilities by incorporating R code and SQL scripts. Follow the journey from data preparation to model deployment within a Data Factory pipeline, and understand how to integrate results back into Azure SQL Server databases. Master the art of data-driven decision making, predictive analytics, and various machine learning types while utilizing Azure ML's Algorithm Cheat Sheet. Dive into practical demonstrations of data visualization, partitioning, sampling, and model evaluation techniques. Acquire the skills to improve your ML results and unlock new opportunities for data analysis using Azure Machine Learning Studio.
Overview
Syllabus
Introduction
Datadriven decision making
Predictive analytics
What is machine learning
Types of machine learning
Azure ML
Our
Azure ML Algorithm Cheat Sheet
Integration
Data Factory
Azure Machine Learning
Experiment
Data Visualization
Partition and Sampling
Transformation
Data Preparation
Model Evaluation
Model Visualization
Results
Model
Improve Your Results
Summary
Questions
Microsoft Azure Machine Learning Studio
Taught by
PASS Data Community Summit
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