标签：amp 百度 机器学习 business border 一周 告诉 coursera call
https://www.coursera.org/learn/ai-for-everyone
讲师：
Andrew Ng （吴恩达）
CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain
Landing.AI CEO /创始人； Coursera联合创始人； 斯坦福大学兼职教授； 曾任百度首席科学家，Google Brain创始人
课程信息：
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.
In this course, you will learn:
- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
- What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization
- What it feels like to build machine learning and data science projects
- How to work with an AI team and build an AI strategy in your company
- How to navigate ethical and societal discussions surrounding AI
Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.
AI并不只适用于工程师。如果您希望您的组织能更好地使用AI，那么这门课就是要告诉所有人----尤其是您的非技术同事们----去学吧。
在这门课中，你会学到：
- 常用AI术语背后的含义，包括神经网络，机器学习，深度学习和数据科学
- AI实际能做什么，不能做什么
- 如何找寻机会应用AI解决你组织中的问题
- 创建机器学习和数据科学项目的感觉如何
- 如何与一个AI团队合作并在公司中制定一个AI策略
- 如何应对围绕AI的伦理和社会讨论
虽然这门课主要是讲非技术性的东西，但工程师们也可以利用这门课学习一下人工智能的商业方面。
----------------------------------------------待更新-----------------------------------------------------
教学大纲：
第一周：What is AI?
9 个视频 （总计 69 分钟）, 1 个测验
第二周：Building AI Projects
8 个视频 （总计 52 分钟）, 1 个测验
第三周：Building AI In Your Company
10 个视频 （总计 90 分钟）, 1 个测验
第四周：AI and Society
吴恩达《AI For Everyone》_练习英语翻译_待更新
标签：amp 百度 机器学习 business border 一周 告诉 coursera call
原文地址：https://www.cnblogs.com/liujinqin/p/10474426.html
