AI&CS-Related courses

ถ้าดูหมดก็เก่งมากๆ จนจบตรีได้ละมั้ง

cluster: tech

ทำตุนไว้เผื่อเรียนเองตอนว่างๆ เราไม่ชอบ university courses hell แต่ถ้าเป็น hell ที่เลือกเองก็คงดีขึ้นมานิดนึง🥲

รวม courses ที่น่ายึดเป็นหลักตอนลุยปูพื้นฐาน CS กับพวก AI, Finance นิดหน่อย
(ไม่รวม learn_web_dev)

p.s. หลาย ๆ courses มีเนื้อหาซ้ำกัน และการบ้าเรียนหมดคงไม่ ideal
ว่าจะลองจัดเป็น learning pathway ใหม่ทีหลัง
how_to_tackle_cs

👀=focus
🧩=finished

• AI&Neuro fundamentals
  • https://youtu.be/I2ZK3ngNvvI?si=8u99cCKuLzTP5byi
  • https://youtu.be/0QczhVg5HaI?si=1_T8FVlGMOsPz1-w
  • https://youtu.be/eg6N0i8NVxs?si=B90UQ7zy9rDUMsTd
  • 👀course-data_rockie_12
  • course-AI Builders
  • 👀course-brain_building_block
  • course-brain_code_camp
  • course-neuromatch
  • 👀course-ai_engineers2025_by_nutchanon_yongsatianchot
  • course-generative_ai2024_by nutchanon_yongsatianchot
  • course-Pattern2024 by EkapolC
  • course-MIT6S191 Introduction to Deep Learning
  • course-MIT6S183-A Practical Introduction to Diffusion Models
  • course-MIT6S184-Introduction to Flow Matching and Diffusion Models
  • course-MASS60-How2AIAlmostAnything2025
• ByoMIT-EECS
  • https://www.reddit.com/r/mit/comments/1i29h4p/mit_courses_cs_roadmap/
  • https://www.eecs.mit.edu/academics/undergraduate-programs/curriculum/6-3-computer-science-and-engineering/
• programming
  • 👀course-mit_missing_semester
  • yt-Harvard CS50 prof David J. Malan on why you should learn programming slowly Podcast 197
    • https://youtu.be/ZK6XWSCCgPQ?si=IDLIMCZhZ2n0EoLz
  • course-CS50
  • course-MIT6100 Intro to Programming
  • https://github.com/mtdvio/every-programmer-should-know
• maths for cs
  • course-MIT6120 Mathematics for Computer Science
    • https://csdiy.wiki/en/%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/6.042J/
• Maths
  • course-MIT1806-Linear Algebra
  • https://github.com/TalalAlrawajfeh/mathematics-roadmap
    • https://www.facebook.com/groups/262423460866852/?multi_permalinks=2267202393722272&hoisted_section_header_type=recently_seen
• algorithm
  • course-Problem Solving from Zero to One
  • course-MIT6121 Introduction to Algorithms
    • https://ocw.mit.edu/courses/6-006-introduction-to-algorithms-spring-2020/pages/syllabus/
  • course-MIT6122 Design and Analysis of Algorithms
    • https://ocw.mit.edu/courses/6-046j-design-and-analysis-of-algorithms-spring-2015/pages/syllabus/
  • course-MIT6521 Advance Algorithm
    • https://6.5210.csail.mit.edu/materials
  • book-CLRS
  • book-SICP
    • https://tcpc.me/2021/06/24/sicp-is-cool.html
• low level
  • course-MIT6191 Computational Structure
    • https://ocw.mit.edu/courses/6-004-computation-structures-spring-2017/pages/syllabus/
• above and beyond
  • https://csdiy.wiki/en/%E4%BD%BF%E7%94%A8%E6%8C%87%E5%8D%97/
  • course-MIT65940 TinyML and Efficient Deep Learning Computing
  • quant and finance
    • course-MIT18S096 Topics in Mathematics w Applications in Finance
      • https://www.youtube.com/playlist?list=PLUl4u3cNGP63ctJIEC1UnZ0btsphnnoHR
    • stanford-CS007: Personal Finance for Engineers
      • https://www.facebook.com/share/179ALutF9J/
    • algotrade
      • https://www.facebook.com/share/1EtoTiUz8h/
      • https://youtube.com/playlist?list=PLO9UVB14k9So2OVyUYGMWwOvLYYKKvdZg&si=JLkZwogWx0p_3Ouz
    • concern too easy proj
      • https://www.facebook.com/share/1KjuZfoDSG/
  • A brief overview of Stochastic Processes in finance
    • https://medium.com/@simonleung5jobs/a-brief-overview-of-stochastic-processes-in-finance-370e138137b4
  • post-อยากเริ่มเป็น Quant วันนี้เลย ต้องเริ่มจากไหน
  • course-stanford-cs224w-Machine Learning with Graph
    • https://csdiy.wiki/en/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224w/
    • https://web.stanford.edu/class/cs224w/
  • course-Stanford-CS229
    • https://csdiy.wiki/en/%E4%BD%BF%E7%94%A8%E6%8C%87%E5%8D%97/
    • https://tselilschramm.org/mltheory/ma.pdf
    • https://www.facebook.com/bigdatarpg/posts/pfbid024p2UgZbiE3FidEFnQXiMj8mHAensF3AyUsZu9vFkF6d1pRW7KVjsDdkQiWmCXQYxl
    • https://www.facebook.com/share/16uYNA4Q9j/
  • course-standford-llm
  • https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
  • https://www.stat.cmu.edu/~brian/valerie/617-2022/0%20-%20books/2004%20-%20wasserman%20-%20all%20of%20statistics.pdf
  • https://github.com/telmo-correa/all-of-statistics
  • Quantum computing
    • jittat
      • https://www.facebook.com/share/p/1BXS2LELM2/
    • get started with Quantum Computing by ksupasate
      • https://www.facebook.com/ksupasate/posts/pfbid02WTUAnc1S91h8kiEyvsyPFErhxwMpqPCf9tPsu74jHb2gyyyBxqEwuC9gRVbTmcZRl
      • https://www.facebook.com/quantumblueth/posts/pfbid08PrZwAgHs4NrdYth9ALi5kVhRzJCZ9nNSXox7Nk2fKqdgDdiCbT6tkbFrf17Np1xl
      • https://github.com/ksupasate/Awesome-QuantumComputing
  • related music_courses
    • course-mit21m080-introduction_to_music_technology

created on: Thu Oct 02 2025