Getting Started with Azure Machine Learning

Pluralsight

Course Summary

Machine learning helps predict the weather, route you around traffic jams, and display personalized ads on your web pages. In this course, you will learn how to use Azure machine learning in order to create, deploy, and maintain predictive solutions.

+
Course Description

Every day you see more and more examples of machine learning in your life. In this course, Getting Started with Azure Machine Learning, you will learn how to develop and deploy predictive solutions using Azure Machine Learning. First, you will see how, with a little dragging and dropping, you can create solutions from scratch. Next, if you already have a solution implemented in R or Python, you will learn how to scale them up with Azure Machine Learning. Finally, you'll end the course by learning about how to maintain your Azure Machine Learning solution. After finishing this course, you'll have gone from a machine learning novice to having a prediction solution service ready to integrate into your applications to make them smarter and more useful.

Course Description

Every day you see more and more examples of machine learning in your life. In this course, Getting Started with Azure Machine Learning, you will learn how to develop and deploy predictive solutions using Azure Machine Learning. First, you will see how, with a little dragging and dropping, you can create solutions from scratch. Next, if you already have a solution implemented in R or Python, you will learn how to scale them up with Azure Machine Learning. Finally, you'll end the course by learning about how to maintain your Azure Machine Learning solution. After finishing this course, you'll have gone from a machine learning novice to having a prediction solution service ready to integrate into your applications to make them smarter and more useful.

+
Course Syllabus

Course Overview
- 1m 50s

—Course Overview 1m 50s

Introduction
- 19m 36s

—Welcome 1m 11s
—Machine Learning in Action 3m 14s
—Types of Machine Learning 3m 7s
—Machine Learning Workflow 4m 28s
—Azure and Machine Learning 4m 21s
—Course Overview 3m 12s

Getting to Know Azure Machine Learning
- 25m 11s

—Getting Access to Azure Machine Learning 5m 22s
—Getting to Know Azure Machine Learning Studio 2m 39s
—Creating Your First Experiment 2m 30s
—Getting and Exploring Data 8m 12s
—Selecting the Algorithm and Training the Model 4m 7s
—Evaluating the Trained Model 2m 18s

Diving Deeper into Azure Machine Learning
- 27m 31s

—Introduction 1m 5s
—Adding Data to Azure Machine Learning 5m 53s
—Getting and Exploring Data 3m 8s
—More Data Pre-processing 6m 19s
—Incorporating Code 6m 16s
—Selecting and Training an Algorithm 4m 48s

Evaluating Your Trained Model
- 11m 14s

—Understanding Evaluation 5m 20s
—Comparing Model Results 4m 33s
—Summary of Building and Evaluating Models 1m 20s

Deploying Your Azure ML Solution
- 28m 54s

—Introduction 0m 52s
—Creating a Predictive Experiment 3m 24s
—Creating and Deploying Your Web Service 4m 50s
—Using Your Web Service 2m 37s
—Using Request/Response to Access Your Web Service 6m 39s
—Using Batch Execution to Access Your Web Service 9m 21s
—Summary 1m 8s

Maintaining Your Azure ML Solution
- 14m 27s

—Introduction to Solution Maintenance 2m 47s
—Creating a Retraining Experiment and Web Service 2m 25s
—Creating and Evaluating a Retrained Model 2m 58s
—Adding a Changable End Point 1m 17s
—Updating the Web Service to Use the Retrained Model 3m 2s
—Summary 1m 56s

Conclusion
- 5m 30s

—Summary and Next Steps 5m 30s