|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-and-data-science-with-aws/
课程评论：没有评论
课程名称：AWS下的机器学习与数据科学实战 课程概述：欢迎参加本课程《AWS下的机器学习与数据科学实战》。亚马逊网络服务（AWS）是全球最大的云计算平台，提供了广泛的服务用于扩展和实施各种应用。本课程强调了解机器学习和数据科学的理念与方法，同时注重在实际应用中开发和部署这些理念的能力，这是行业所看重的。课程中，我们将深入探讨如何利用AWS的多种云服务，将您的创意转化为在机器学习和数据科学多个领域中的实际应用。无论您是希望换工作的IT专业人士、想提升技能的学习者，还是有志于云认证的求职者，本课程都为希望学习上述内容的人提供了广泛的选择。 课程结构：本课程由多个主题和模块组成。在前面的几个模块中，您将学习与AWS的数据科学和分析相关的云服务，并通过实际示例进行实践。您将学习如何在Glue中创建爬虫，以及如何使用Amazon Athena中的SQL分析数据集。接下来，您将学习如何准备数据集以创建数据可视化图表和报告，从而发现数据集中的关键洞察，以助于决策过程。您将学习如何在AWS Quicksight上创建计算字段、排除列表和过滤器，以及一些高级图表，如词云图和漏斗图。 在机器学习部分，您将学习自然语言处理及其应用，借助AWS的Comprehend和Translate服务。AWS Comprehend可用于识别文本语言、提取关键短语、地点、人物、品牌或事件，理解对产品或服务的情感以及从文献库中识别主要主题。而AWS Translate则用于将一种语言翻译成另一种语言。 通过本课程，您将获得实战经验，掌握在AWS平台上进行数据分析和机器学习的技能。
Welcome to this course on Machine Learning and Data Science with AWS. Amazon Web services or AWS is one of the biggest cloud computing platform where everything gets deployed to scale and action. Understanding the concepts and methods are vital, but being able to develop and deploy those concepts in forms of real life applications is something that is most weighted by the industry. Thus, here in this course, we are focused on ways you can use various cloud services on AWS to actually build and deploy you ideas into actions on multiple domains on Machine Learning and Data Science. You could be an IT professional looking for job change or upgrading your skillset or you could be a passionate learner or cloud certification aspirant, this course is for wider audience that if formed by the people who would like to learn any of these or a combination of these things-Create and Analyze dataset to find insights and spot outliers or trendsBuild Data visualization reports and dashboards by combining various visualization charts to represent data insightsDevelop machine learning models for Natural Language Processing for various applications on AWSAnd much more.Course StructureThis course consists of multiple topics that are arranged in multiple sections. In the first few sections you would learn cloud services related to Data Science and Analysis on AWS with hands on practical examples. There you would be learning about creating a crawler in Glue, Analyzing dataset using SQL in Amazon Athena. After that you would learn to prepare a dataset for creating Data Visualization charts and reports that can be used for finding critical insights from the dataset that can be used in decision making process. You will learn to create calculated fields, excluded lists and filters on AWS Quicksight, followed by some advanced charts such as Word cloud and Funnel chart.After that in Machine Learning section, you will learn about Natural language processing and it's application with the help of AWS Comprehend and Translate. AWS Comprehend is used to identify the language of the text, extract key phrases, places, people, brands, or events, understand sentiment about products or services, and identify the main topics from a library of documents. AWS Translate is used for translating language from one language to another.
