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所在平台: Udemy |
课程主页: https://www.udemy.com/course/beginning-machine-learning-with-aws/
课程评论：没有评论
课程名称：AWS机器学习入门 课程概述： 本课程是针对初学者的机器学习与人工智能（AI）技能学习平台，使用亚马逊网络服务（AWS）这一最受欢迎和强大的云计算平台。学员将学习如何利用AWS将项目转变为高速且可扩展的应用程序。课程内容涵盖自然语言处理（NLP）应用，例如语言翻译和文本理解，以及创建具有语音和文本接口的聊天机器人。学员将掌握如何快速处理大量图像并创建机器学习模型的相关知识。课程结束时，学员将掌握在机器学习和人工智能项目中高效使用AWS所需的技能。 课程作者： - Jeffrey Jackovich：一位好奇的数据科学家，拥有健康科技和并购背景，擅长使用R和Python分析各种数据。他在摩洛哥担任和平队志愿者，热爱数据科学的挑战，目前在波士顿大学攻读计算机信息系统硕士学位，专注于数据分析。 - Ruze Richards：数据科学家和云架构师，曾在企业和创业公司构建高性能分析系统，热衷于人工智能和机器学习。他的职业生涯始于物理学家，对神经网络产生浓厚兴趣，曾在AT&T贝尔实验室工作，致力于这一领域的深入研究。 - Kesha Williams：拥有超过20年网页应用开发经验的软件工程师，专注于Java、Spring、Angular和AWS。她培训和指导了数千名开发人员，并曾在大学教授Java课程，因工作于新兴技术和人工智能获得多个奖项。 本课程适合希望掌握AWS机器学习技能的初学者。
Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are highly scalable. From natural language processing (NLP) applications, such as language translation and understanding news articles and other text sources, to creating chatbots with both voice and text interfaces, you will learn all that there is to know about using AWS to your advantage. You will also understand how to process huge numbers of images fast and create machine learning models.By the end of this course, you will have developed the skills you need to efficiently use AWS in your machine learning and artificial intelligence projects. About the AuthorJeffrey Jackovich, is the author of this course, and a curious data scientist with a background in health-tech and mergers and acquisitions (M & A). He has extensive business-oriented healthcare knowledge, but enjoys analyzing all types of data with R and Python. He loves the challenges involved in the data science process, and his ingenious demeanor was tempered while serving as a Peace Corps volunteer in Morocco. He is completing a Masters of Science in Computer Information Systems, with a Data Analytics concentration, from Boston University. Ruze Richards, is the author of this course, and a data scientist and cloud architect who has spent most of his career building high-performance analytics systems for enterprises and startups. He is especially passionate about AI and machine learning, having started life as a physicist who got excited about neural nets, then going on to work at AT & T Bell Labs in order to further pursue this area of interest. With the new wave of excitement along with the actual computing power being available on the cloud for anybody to actually get amazing results with machine learning, he is thrilled to be able to spread the knowledge and help people achieve their goals. Kesha Williams is a software engineer with over 20 years of experience in web application development. She is specialized in working with Java, Spring, Angular, and Amazon Web Services (AWS). She has trained and mentored thousands of developers in the US, Europe, and Asia while teaching Java at the university level. She has won the Ada Lovelace Award in Computer Engineering from LookFar and the Think Different Innovation Award from Chick-fil-A for working with emerging technologies and artificial intelligence.
