Overview
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Discover machine learning fundamentals and learn how to leverage cloud-based predictive models with Azure Machine Learning in this thrilling conference talk. Explore the potential of machine learning for software developers and gain insights into its practical implementation. Delve into topics such as good data science practices, predicting customer profitability, and overcoming data scientist challenges. Follow along as the speaker demonstrates creating a workspace, preparing data, developing models, and deploying experiments using Azure Machine Learning. Witness real-world applications through integration demos and learn how to visualize data, select appropriate algorithms, and evaluate model performance using confusion matrices. Equip yourself with the knowledge to take your first steps into the exciting world of cloud-based machine learning.
Syllabus
Intro
Who am I
Outline
Good Data Science
Machine Learning
Predict Customer Profitability
Data Scientist
Challenges
Azure Machine Learning
How does it work
Creating a workspace
Moving forward
Demo
Adventureworks
Preparing Data
Creating Experiments
Developing Models
Uploading Data
Data Visualization
Column Selector
Algorithms
Training and Testing
Confusion Matrix
Publishing
Prediction
Deployment
Integration Demo
Taught by
NDC Conferences