Azure Machine Learning

• Experience with the Azure cloud platform

Audience

• Data Scientists

Azure Machine Learning is a cloud based platform for building, training, and deploying machine learning models. Azure Machine Learning provides users the ability to create machine learning solutions without a single line of code.

This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning to build end-to-end machine learning models for predictive analysis.

By the end of this training, participants will be able to:

• Build machine learning models with zero programming experience.
• Create predictive algorithms with Azure Machine Learning.
• Deploy production ready machine learning algorithms.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

Azure Machine Learning Overview

• What is Azure Machine Learning?
• Azure Machine learning features
• Azure Machine Learning architecture

Preparing the Machine Learning Operations Environment

• Setting up Azure Machine Learning lab environment

Data Processing

• Importing and unzipping data and datasets
• Transforming and cleaning data
• Separating training data and test data

Classifications and Regressions

• Creating binary and multi-binary models
• Working with regression models
• Tuning hyperparameters and parameters
• Implementing predictive and impact analysis
• Building decision trees and decision forests

Clustering

• Implementing cluster analysis

NLP

• Featuring and labeling data
• Using text analysis

Recommender Systems

• Working with Matchbox Recommender models

Deployment

• Creating, exposing, and consuming machine learning model web services

Summary and Conclusion