2024年9月14日,在Coursera完成DeepLearning.AI课程《Generative AI for Everyone》(为每个人创造人工智能)。
糟糕的策略:收集数据 和 构建AI系统 时段先后进行——容易造成过度投资在数据 建议的策略:收集数据 和 构建AI系统同时进行——便于两个团队及时反馈形成有用数据集,明确IT基础架构 建议不要认为只要扔给数据给AI团队,就假设它们会创造价值。通常数据多更好,但海量数据不一定能通过AI发掘价值 Data is messy 数据是散...
1-How generative AI works生成式人工智能的原理 AI是一个集合,一套工具:监督学习-擅长标记事物;生成式AI-……;无监督学习-……;强化学习-…… 监督学习:从输入A生成输出B 2010-2020大规模监督学习为现代生成人工智能奠定了基础:生成式AI使用超大型模型标记事物 large language Models(LLMs大预言模型)生成文本 使...
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. Enroll in course MOOC List is learner-supported. When you buy through links on our site, we may earn an affi...
1️⃣《AI for Everyone》- 吴恩达(Andrew Ng)大佬出品的给每个人的AI入门课。- 适合任何人观看,一共5个课时,强推👍初学者观看。- 课程放在coursera上,现在免费!- 你将学到:生成式AI的工作原理和常见用例,思考生成式AI项目的生命周期,以及AI为个人、企业和社会带来的潜在机会和风险。---2️⃣《Introd...
1. AI For Everyone This course will help anyone and everyone learn the basics of artificial intelligence.Skills you’ll gain: Workflow of Machine Learning projects, AI terminology, Workflow of Data Science projects, AI strategy 2. Science Of Well-Being ...
4. Programming for Everybody (Getting Started with Python) (University of Michigan) 《面向大众的编程(从Python入手)》 密歇根大学 5. AI for Everyone (deeplearning.ai) 《面向大众的人工智能》 deeplearning.ai公司 6. Neural Networks and Deep Learning (deeplearning.ai) ...
面向所有人的机器学习入门\[IBM\] https://www.coursera.org/learn/machine-learning-introduction-for-everyone 人工智能、商业和未来的工作\[隆德大学\] https://www.coursera.org/learn/ai-business-future-of-work 斯坦福食品与健康导论\[斯坦福大学\] https://www.coursera.org/learn/food-and-health ...
In this course, you will discover the transformative impact of generative AI on businesses and professionals. This course is suitable for anyone interested in learning about business and career opportunities through generative AI. It will benefit a diver
And be sure tocheck out this course, which is currently offered for free. If you're looking for online destinations that allow you to gain the knowledge you need here are our other favorite platforms: Skillshare(You canread the review of it here.) ...