|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/azure-machine-learning-introduction/
课程评论：没有评论
课程名称：使用 Azure 机器学习成为数据科学家 概述：在数据领域，数据科学家或 BI 开发人员这一职业无疑是最热门的职业之一，尤其是在预测分析方面。虽然大数据已经成为众所周知的热词，但当大量数据被摄取到数据湖中后，接下来的步骤是什么？答案就是预测分析。随着我们进入大数据时代，机器学习在近年来变得更加流行。通过在多个领域处理大量数据，机器学习技术可以应用于更广泛的问题。数据蕴藏着秘密，尤其是当数据量庞大时，通过智能的方式分析数据以寻找模式是至关重要的。这正是机器学习的作用：它分析大量数据以寻找模式，然后生成代码，使你能够在新数据中识别这些模式。你的应用程序可以利用这些生成的代码做出更好的预测。换句话说，机器学习可以帮助你创造更智能的应用程序。 Azure 机器学习（Azure ML）是一项云服务，帮助人们执行机器学习过程。顾名思义，它运行在微软 Azure 公有云平台上，因此 Azure ML 可以处理非常大量的数据，并且可以从世界任何地方访问。只需使用网页浏览器和互联网连接即可使用它。在本课程中，你将学习并构建使用 Azure Machine Learning Studio 的预测算法。到课程结束时，你将能够在不编写一行代码的情况下构建和评估二元分类预测模型。你将为一个针对性电子邮件营销活动构建实验，并能够判断哪些客户应该接收宣传单，哪些不应该。 感谢您对 Azure Machine Learning Studio 的关注，希望在课程中见到您！
There can be little doubt that the single hottest career in the data field is the data scientist or BI developer skilled in predictive analytics. Yes, Big Data is on everyone's lips but what happens after that big data is ingested into a data lake? The answer is predictive analytics. Because we live in the big data era, machine learning has become much more popular in the last few years. Having lots of data to work with in many different areas lets the techniques of machine learning be applied to a broader set of problems.Data can hold secrets, especially if you have lots of it. With lots of data about something, you can examine that data in intelligent ways to find patterns. This is exactly what machine learning does: It examines large amounts of data looking for patterns, then generates code that lets you recognize those patterns in new data. Your applications can use this generated code to make better predictions. In other words, machine learning can help you create smarter applications. Azure Machine Learning (Azure ML) is a cloud service that helps people execute the machine learning process. As its name suggests, it runs on Microsoft Azure, a public cloud platform. Because of this, Azure ML can work with very large amounts of data and be accessed from anywhere in the world. Using it requires just a web browser and an internet connection. In this course you will be learning and building predictive algorithms using Azure Machine Learning Studio. At the end of this course you'll be able to build and evaluate a binary classification predictive model without authoring a single line of codeYou'll build an Experiment for a targeted email campaigned and be able to tell what customers should receive flyers and those that shouldn't. Thanks for reading about Azure Machine Learning Studio and I'll see you in the course.
