正文
吴恩达《AI For Everyone》_练习英语翻译_待更新
小程序：扫一扫查出行【扫一扫了解最新限行尾号】
复制小程序
AI For Everyone
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
Week 1 Introduction7分钟
Machine Learning6分钟
What is data?11分钟
The terminology of AI9分钟
What makes an AI company?7分钟
What machine learning can and cannot do7分钟
More examples of what machine learning can and cannot do8分钟
Non-technical explanation of deep learning (Part 1, optional)7分钟
Non-technical explanation of deep learning (Part 2, optional)3分钟
1 个练习
Week 1 Quiz30分钟
第二周：Building AI Projects
8 个视频 （总计 52 分钟）, 1 个测验
Week 2 Introduction1分钟
Workflow of a machine learning project6分钟
Workflow of a data science project6分钟
Every job function needs to learn how to use data6分钟
How to choose an AI project (Part 1)7分钟
How to choose an AI project (Part 2)8分钟
Working with an AI team8分钟
Technical tools for AI teams (optional)6分钟
1 个练习
Week 2 Quiz30分钟
第三周：Building AI In Your Company
10 个视频 （总计 90 分钟）, 1 个测验
Week 3 Introduction2分钟
Case study: Smart speaker9分钟
Case study: Self-driving car6分钟
Example roles of an AI team8分钟
AI Transformation Playbook (Part 1)10分钟
AI Transformation Playbook (Part 2)14分钟
AI pitfalls to avoid2分钟
Taking your first step in AI4分钟
Survey of major AI application areas (optional)17分钟
Survey of major AI techniques (optional)15分钟
1 个练习
Week 3 Quiz30分钟
第四周：AI and Society
8 个视频 （总计 50 分钟）, 1 个测验
Week 4 Introduction2分钟
A realistic view of AI7分钟
Discrimination / Bias9分钟
Adversarial attacks on AI7分钟
Adverse uses of AI4分钟
AI and developing economies7分钟
AI and jobs7分钟
Conclusion3分钟
1 个练习
Week 4 Quiz30分钟
