pineboar29 @pineboar29
Down the Rabbit-Hole ... Joined November 2021-
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MIT just quietly dropped a free AI curriculum that puts $50,000 university courses to shame. 12 books. Zero tuition. From the same institution that produced the people building the models everyone is talking about. FOUNDATIONS 1. Foundations of Machine Learning — lnkd.in/gytjT5HC 2. Understanding Deep Learning — lnkd.in/dgcB68Qt 3. Machine Learning Systems — lnkd.in/dkiGZisg ADVANCED TECHNIQUES 4. Algorithms for ML — algorithmsbook.com 5. Deep Learning — lnkd.in/g2efT6DK REINFORCEMENT LEARNING 6. RL Basics (Sutton & Barto) — lnkd.in/guxqxcZZ 7. Distributional RL — lnkd.in/d4eNP-pe 8. Multi-Agent Systems — marl-book.com 9. Long Game AI — lnkd.in/g-WtzvwX ETHICS & PROBABILITY 10. Fairness in ML — fairmlbook.org 11. Probabilistic ML Part 1 — lnkd.in/g-isbdjj 12. Probabilistic ML Part 2 — lnkd.in/gJE9fy4w This is a complete MIT-level AI education. Not a YouTube playlist. Not a Twitter thread full of fluff. Textbooks written by the researchers who built the field. The people who actually study this will not just understand AI better than their peers. They will understand it better than most people currently getting paid to work in it. Most people will bookmark this and never open it. The ones who open it tonight are the ones who show up in 12 months having built something nobody around them understands yet. Bookmark this. Open the first one tonight. Follow @cyrilXBT for more resources that actually compound.
一位麻省理工学院教授教了同一门数学课程62年。退休那天，来自世界各地的学生在线观看了他的最后一堂课。 我凌晨2点打开播放列表，结果连看了三堂课。 他叫吉尔伯特·斯特朗。课程是麻省理工18.06线性代数。 每位机器学习工程师、数据科学家、量化分析师、真正理解AI工作原理的自学程序员都从这一个人那里学习数学。他们大多从未踏足麻省理工校园，只是在YouTube上打开免费播放列表让他授课。 这是几乎没人讲述的故事。 斯特朗于1962年加入麻省理工数学系。他于2023年退休。那是61年来在同一块黑板前教同一科目给18岁的学生。 有趣的是他在麻省理工推出开放课程网时的做法。大多教授持怀疑态度，担心在线讲座会让课堂失去意义。斯特朗没有犹豫。他说人生使命是向全球学生开放数学。他录制每堂课并免费分享。 这个决定悄然改变了世界学习数学的方式。 数十年来线性代数教学方式错误。教授们从抽象向量空间和域公理证明开始。学生被抽象淹没，多数无法恢复。他们离开时以为自己不擅长数学，其实只是被教了大脑无法吸收的顺序。 斯特朗颠倒了整个课程。 他从矩阵乘法开始。你能在纸上写下来的东西。你能手工计算的东西。你能看到的东西。然后他展示学生线性代数中其他一切——特征向量、奇异值分解、正交性、四个基本子空间——都只是理解矩阵实际做什么的不同角度。 他的规则很严格。如果学生不能用具体3×3例子解释概念，就说明还没真正理解。抽象应该最后而非最先。直觉是基础。证明只是确认直觉正确。 斯特朗改变的第二件事是课堂本身。他对学生说请和谢谢。每堂讲座都这样。他在推导中途暂停问'我可以吗？'以检查是否有人迷茫。他从不用'显然'或'平凡'因为他深知这些词对落后一步的学生有什么影响。他对初学者的对待方式就像对待同事。耐心。尊重。假设他们属于这里。 62年来。 结果是教育史上从未发生过的事。单一数学教授成为全球该科目的默认教师。 印度、中国、巴西、尼日利亚的大学，每个有计算机科学系的国家，都开始让学生看斯特朗讲座。伊利诺伊大学修改了线性代数课程，几乎不做面对面讲授。原因很坦诚。教授说他们无法与视频竞争。 他的最后讲座在2023年5月。 礼堂里挤满从未见过他的学生。他走向黑板，讲了一小时，最后整间教室站起来鼓掌。他看起来困惑了一下，真的不理解为什么他们在欢呼。然后他微笑挥手离开。 他在那堂最后讲座YouTube视频下的评论只有四句。他说教学是美好人生。他感谢所有看到线性代数重要性的人。他说良好教学的运动会继续因为它是对的。 就这样。没有书籍推广。没有告别演讲。没有遗产管理。 他的教学是现代AI基础的人就这样感谢观众回家了。 2000万次观看。零自我。整个AI革命引擎建立在数百万人从剑桥一位安静教授那里免费学到的数学之上。 课程仍在麻省理工开放课程网上。每堂讲座、每套习题、每场考试、每个答案。免费。 21世纪最重要的数学课程就在你一键之遥的地方。大多数人永远不会打开它。
现在离职还有这么多要注意的地方？ 懂法真好！
这AI视频是既离谱又合逻辑啊 🤣
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Spirograph is a geometric drawing device that produces mathematical roulette curves of the variety technically known as hypotrochoids and epitrochoids [📹 spirograph.shr] x.com/Levandov_2/sta…
Excel是非常强大的。 但是Excel + ChatGPT就像是魔术。 下面是如何使用它来每周节省数小时的方法： [收藏来以后使用🧵]
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@GameIdentityV Uh, I'm so sick of you moralists. Kinda curious how you guys would react when watching TV series like Preacher and Supernatural? We’re living in the 21st century for goodness’ sake!
The best way to see Van Gogh's "Starry Night" is to stare at the center of the spiral for 20 seconds and then look at the painting
@Hdu2pwNFlLGWCuH @deguoziganwu 不知道您在哪儿学的中文，至少作为一个土生土长的中国人，我还真没听过“一个瓶可乐”。
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@thatskygame For a moment I thought Poseidon was gonna swallow the little boatman and give him a Pinocchio-in-whale kind of adventure.😂
@badiucao 大师 probably is gonna ask you to shave your beard first🤣🤣
@badiucao He's livestreaming on youtube now. Maybe you'd like to take a look (or take a leak, whatever you like😂) at what he's about to say.
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14K Followers 322 Following 錦糸町を愛する中国人youtube➡ https://t.co/VO9ekDKbQp 仕事の依頼➡[email protected]
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