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

info@cloudfronts.com

Thank You!