Azure Machine Learning
Presented by –
<Shannon Pereira, Software Engineer>
Agenda
• Introduction to ML Studio
• Types of ML Algorithms
• Steps in Machine Learning
• Use Case Scenario on Flight Delay based on previous Weather Dataset
• Q & A
Features of Azure ML Studio
• Predictive Analytics on Azure Public Cloud
• No coding required
• Supports R, Python and SQL
• Drag and drop modules
• Simple data flow diagrams
• Custom Web Services
• Monetize your ML
Types of Algorithms in ML
1. Classification (What is this?)
2. Regression (How much/many is this?)
3. Anomaly Detection (Is this fine?)
4. Clustering (How is this organized?)
5. Reinforcement Learning (What should I do next?)
Steps to create an Experiment
1. Get the Data
2. Pre-processing the data
3. Feature Selection
4. Apply an Algorithm
5. Train the Model
Q & A
https://www.linkedin.com/company/cloudfronts
https://twitter.com/cloudfronts
https://www.youtube.com/user/cloudfronts
Thank You!