Intro to Machine Learning using Microsoft Azure
About this Course
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 …
Intro to Machine Learning using Microsoft Azure
About this Course
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.
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.
[‘As more and more services move to the cloud, the need for machine learning expertise in cloud infrastructure increases. In fact, nearly 90% of companies rely on cloud computing. Microsoft Azure is one of the top cloud providers among Fortune 500 companies, and this free course aims to enable a new generation of machine learning practitioners to progress their careers.’]
lesson 1
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
lesson 2
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
lesson 3
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
lesson 4
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
lesson 5
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
lesson 6
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
