コースについて

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning. Next, this course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach. As you go through the course, we'll introduce you to Microsoft's pre-trained and managed machine learning offered as REST API's in their suite of cognitive services. We'll implement solutions using the computer vision API and the facial recognition API, and we'll do sentiment analysis by calling the natural language service. Using the Azure Machine Learning Service you'll create and use an Azure Machine Learning Worksace.Then you'll train your own model, and you'll deploy and test your model in the cloud. Throughout the course you will perform hands-on exercises to practice your new AI skills. By the end of this course, you will be able to create, implement and deploy machine learning models....

Aug 09, 2020

The course is brief and very informative. It provides an overall idea regarding Microsoft Azure, project management and end-to-end machine learning from business understanding to deployment.

Apr 20, 2020

Great information about AI. Earlier I don't know about AI application too much, but after enrolling in this course I could surely say that you would learn all about AI application.

LearnQuest による Developing AI Applications on Azure の受講者のレビューおよびフィードバック

コースについて

人気のレビュー

Developing AI Applications on Azure： 76 - 100 / 215 レビュー

人気の高いオンラインコース

人気の高いオンライン専門講座

オンライン修了証

オンライン学位プログラム

Coursera

コミュニティ

さらに表示