Developing AI Applications on Azure

开始时间: 08/01/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 其他类别

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/learn/developing-ai-applications-azure

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课程详情

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.

在Azure上开发AI应用程序:本课程介绍人工智能和机器学习的概念。我们将讨论机器学习的类型和任务以及机器学习算法。您将探索Python作为机器学习解决方案的流行编程语言,包括使用一些科学的生态系统软件包来帮助您实施机器学习。 接下来,本课程介绍Microsoft Azure中可用的机器学习工具。我们将审查标准化的数据分析方法,并且您会收到有关Microsoft团队数据科学方法的特定指南。在学习本课程的过程中,我们将向您介绍Microsoft的预训练和托管机器学习,它们在其认知服务套件中作为REST API提供。我们将使用计算机视觉API和面部识别API实施解决方案,并通过调用自然语言服务进行情感分析。 使用Azure机器学习服务,您将创建和使用Azure机器学习Worksace,然后将训练自己的模型,并在云中部署和测试模型。在整个课程中,您将进行动手练习来练习新的AI技能。在本课程结束时,您将能够创建,实现和部署机器学习模型。

课程大纲

Introduction to Artificial Intelligence
Standardized AI Processes and Azure Resources
Azure Cognitive APIs
Azure Machine Learning Service: Model Training
Azure Machine Learning Service: Model Management and Deployment

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