以下是为您提供的关于做读书笔记的 AI 相关信息：
吴恩达的学习笔记：
危柯宇的案例：
希望以上信息对您有所帮助。
机械学习：学习输入输出，从A到B的映射。所以一般都有个运行的AI系统，即输入A必然会输出B的软件。更系统的定义是，让电脑在不被编程的情况下，就可以自己学习的研究领域。（1959，Arthur Samuel）数据科学：分析数据集，从数据中获取一些结论与提示。挖掘数据来获取见解，输出结果往往是slide desk，如结论，PPT，项目结果。神经网络/深度学习：有输入层，输出层，中间层（隐藏层）
日常活动文案输出（读书社ing，AI复核型玩法“高阶”，依托传音智库+飞书妙记+在线思维导图Markmap）：有了AI赋能加持，读书会活动yyds✔️运营一个读书俱乐部（策划方案，欢迎仪式，互动玩法）✔️筹办一场趣味性活动（主题拆解，魔性流程，头脑风暴）✔️完成一次结构化总结（快速记录，分秒总结，一键同频）方法一：一键知识图谱1.用kimichat让ai拆解这本书的三级章节并按照markdown产出内容：1.1.Prompt：帮我拆解《爱的五种语言》，生成全书内容的思维导图，要求每个章节后面有三级展开，下一级是主要知识点，下下一级是知识点的论述。先输出对应的markdown1.2.访问地址：[https://kimi.moonshot.cn/](https://kimi.moonshot.cn/)2.复制ai内容粘贴到在线思维导图Markmap中，一键生成思维导图，还可以自定义微调内容，并免费导出图片：2.1.访问地址：[https://www.min2k.com/tools/markmap/](https://www.min2k.com/tools/markmap/)方法二：推导知识图谱（可以参考下面prompt自己构建）
[title]他山之石｜如何防止AI取代人类思考一切？[heading1]原文A hand drawn sketch note helps create the synaptic connections needed to move the information from short term to long term memory.You become a better conceptual thinker when you don’t use AI for note-taking.If we look at this diagram of information processing,we need students to get information into their long-term memory:information processing diagramResearch has demonstrated that students retain more information when they take notes by hand rather than typing them.Similarly,students become better observers in science when they sketch out what they see.This seems odd at first.Is a photo more efficient?Absolutely.Is a photo more accurate?Most definitely.Do scientists use photographs out in the field?You bet.Then why bother sketching?The act of drawing teaches students how to observe.We don’t want to short-circuit that process.I want to see students ideating with sticky notes and sketches and webs rather than asking the AI to develop a fully formed project plan.In terms of learning,we also need to engage in hands-on,minds-on,technically minimal learning in order to master a skill.In other words,we shouldn’t use AI when we are first learning a new skill.When Learning a Skill,Start with the Human Element FirstI reached out to my friend Trevor Muir and asked him,“What would you recommend to tackle the problem of cognitive atrophy?” His response was,“I love this topic.I’ve been thinking about it in writing.I don’t think teachers should use AI with students in writing until students have mastered it first.”