Machine Learning for Business Professionals

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课程主页: https://www.coursera.org/archive/machine-learning-business-professionals

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课程大纲

What is Machine Learning?
Employing ML
Discovering ML Use Cases
Summary

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This course is intended to be an introduction to machine learning for non-technical business professionals. There is a lot of hype around machine learning and many people are concerned that in order to use machine learning in business, you need to have a technical background. For reasons that are covered in this course, that's not the case. In actuality, your knowledge of your business is far more important than your ability to build an ML model from scratch. By the end of this course, you will have learned how to: • Formulate machine learning solutions to real-world problems • Identify whether the data you have is sufficient for ML • Carry a project through various ML phases including training, evaluation, and deployment • Perform AI responsibly and avoid reinforcing existing bias • Discover ML use cases • Be successful at ML You'll need a desktop web browser to run this course's interactive labs via Qwiklabs and Google Cloud Platform. >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

商业专业人员的机器学习:本课程旨在为非技术商业专业人员介绍机器学习。围绕机器学习的炒作很多,许多人担心,要在商业中使用机器学习,您需要具有技术背景。由于本课程中涉及的原因,事实并非如此。实际上,您对业务的了解比起从头开始构建ML模型的能力重要得多。 在本课程结束时,您将学习如何: •制定针对现实问题的机器学习解决方案 •确定您拥有的数据是否足以用于机器学习 •在不同的机器学习阶段进行项目,包括培训,评估和部署 •负责任地执行AI并避免加剧现有偏见 •发现机器学习用例 •在ML上取得成功 您需要使用台式机网络浏览器才能通过Qwiklabs和Google Cloud Platform运行本课程的交互式实验室。 &gt;&gt;&gt;报名参加此课程即表示您同意FAQ中列出的Qwiklabs服务条款,网址为:https://qwiklabs.com/terms_of_service&lt;&lt;&lt;

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