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所在平台: Udemy |
课程主页: https://www.udemy.com/course/azure-machine-learning-using-cognitive-services/
课程评论：没有评论
课程名称：使用认知服务的 Azure 机器学习 课程概述： 这门课程旨在帮助开发人员掌握如何有效利用微软的认知服务，特别是 Azure 机器学习。无论你是对机器学习感兴趣，想为程序添加强大功能，还是希望在开发领域获得新的技能，这门课程都能满足你的需求。机器学习是一个热门话题，具备相关技能的 Python 开发人员在市场上需求量大。通过结合 Azure 和微软的认知服务，开发人员将能够在其应用程序中添加强大的机器学习功能。 在课程中，你将学习如何利用微软的认知服务为各种应用提供先进的机器学习功能。你将能够创建具备“超能力”的应用，例如语音验证、人脸检测、图像识别等。同时，还将学习如何利用机器学习模型简化内容审核等业务流程，以及如何通过聊天机器人等功能提升用户体验。掌握这些技能将显著提升你的职业前景。 课程亮点： - 相较于其他类似课程，本课程覆盖的认知服务范围更广，提供逐步指导，而不仅仅是 Azure 的创建流程。 - 讲师Eduardo Rosas在 Azure 服务领域有四年的经验，曾参与 Microsoft Imagine Cup 世界总决赛。 关键主题包括： - Azure 机器学习工作室：如何使用拖放界面创建自己的机器学习模型。 - Azure 聊天机器人服务：如何创建可连接 Messenger、Slack、Skype、Telegram 等的对话式机器人。 - 视频索引服务：如何识别视频中的人物、动作，获取带时间戳的对话记录和翻译等。 - 计算机视觉：用于手写文本识别和图像分析。 - 自定义视觉：根据需求制作专属的图像分类模型。 - 以及其他九项认知服务！ 理想的学员是具备基础编程知识，并希望使用 Azure 和微软认知服务学习机器学习的人员。如果你准备好提升技能和应用功能，今天就开始你的学习之旅吧！点击报名按钮加入课程，我们期待在课程中见到你！
Has Microsoft's Cognitive services piqued your interest, but you haven't been able to find a decent course that will teach you how to use those services effectively?Or maybe you have just recognised how a valuable skill like machine learning can open up big opportunities for you as a developer.Perhaps you just wanted to find out how to add "superpowers" to your programs to do amazing things like face detection, but had no idea how to go about it.Whatever the reason that has brought you to this page, one thing is for sure; the information you are looking for is contained in this course!Why learn about Azure Machine Learning?Machine Learning is not only a hot topic but more excitingly, Python Developers who understand how to work with Machine Learning are in high demand!Azure, combined with Microsoft Cognitive Services, are a huge opportunity for developers. In this course you will learn how to add powerful Machine Learning functionality to your applications.You'll learn how Microsoft Cognitive Services provide advanced machine learning functionality for any kind of application You will be able to create amazing apps that add "superpowers", such as language understanding for executing user-requests, verification of users through speech, face detection, identification of people in images, and much more!You will learn how to bring into play Machine Learning models to simplify business processes when moderating content. And you will find out how you can create better experiences for your users by adding more interfaces and functionalities such as bots. Adding these skills to your résumé will greatly boost your future job or freelancer opportunities.Why choose this course?This course covers a much wider range of Cognitive Services than other similar courses. It guides you step by step through the usage of these services instead of just covering the creation inside Azure.Your instructor, Eduardo Rosas, has been working with Azure services for 4 years.He has created many apps that leverage Azure services, including one with the implementation of Machine Learning models and image analysis that got him to the Microsoft Imagine Cup World-Wide finals.The Key Topics Covered include:The Azure Machine Learning Studio - how to create your own machine learning models with drag and drop interfaces.The Azure Bot Service - how to create conversational bots that can be connected with Messenger, Slack, Skype, Telegram, and more.The Video Indexing service - how to identify people in a video, actions, get a transcript of the conversation, with a timestamp, how to translate it and more.Computer Vision for OCR - handwritten text recognition, image analysis.Custom Vision for your own image classification model tailored completely to your needs.Plus an additional nine (9) Cognitive Services!You'll come away with a concrete understanding of Azure Machine Learning and how to maximize it to create superior apps with amazing functionalities!The ideal student would be someone who has a basic knowledge of programming and wants to learn about machine learning using Azure and Microsoft Cognitive Services.If you're ready to take your skills and app functionalities to the next level, then today is the best day to get started! Click the enroll button to sign up for the course and we look forward to seeing you on the inside!
