Introduction to Machine Learning using Microsoft Azure

Gain a high-level introduction to the field of machine learning and prepare to use Azure Machine Learning Studio to train machine learning models. Plus, learn how to perform a variety of tasks on Azure Machine Learning labs — from data import, transformation and management to training, validating and evaluating models.

Access to the Azure Machine Learning Labs will close after a predetermined number of students have completed the course.

• Introduction to Machine Learning
• Gain a high-level introduction to the field of machine learning and train your first machine learning model using Azure Machine Learning Studio
• Model Training
• Learn how to prepare data and then transform it into trained machine learning models and get an introduction to ensemble learning and automated machine learning
• Supervised & Unsupervised Learning
• Dive into two of Machine Learning's fundamental approaches: supervised and unsupervised learning and learn about classification, regression, clustering, representation learning, and more
• Applications of Machine Learning
• This lesson looks at some of the most important applications of ML, including deep learning, similarity learning, text classification, feature learning, and anomaly detection
• Managed Services for Machine Learning
• Learn how to enhance your ML processes with managed services and discuss computing resources, the modeling process, automation via pipelines, and more
• Responsible AI
• This lesson will tackle some of the potential implications and challenges posed by ML and AI—as well as principles for building responsible AI that avoids harming others