CS_learn/cs-video-courses
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Add some Data Science, ML, DL courses (#466)

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* Add UC Berkeley Data 100 (FA25)

* Add KAIST CS 492(C) (FA25)

* Add MIT 15.773 (SP24)
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@@ -500,7 +500,7 @@ Table of Contents
- [CSE519 - Data Science Fall 2016 - Skiena, SBU](https://www.youtube.com/playlist?list=PLOtl7M3yp-DVBdLYatrltDJr56AKZ1qXo)
- [CS 109 Data Science, Harvard University](http://cs109.github.io/2015/pages/videos.html) ([YouTube](https://www.youtube.com/playlist?list=PLb4G5axmLqiuneCqlJD2bYFkBwHuOzKus))
- [6.0002 Introduction to Computational Thinking and Data Science - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/lecture-videos/)
- [Data 100: Principles and Techniques of Data Science - UC Berkeley](https://ds100.org/fa24/) ([Fall 24](https://www.youtube.com/playlist?list=PLIygTcviGPKBzDKR72ILypzPQZ_Cz6HcH)) ([Spring 24](https://ds100.org/sp24/)) ([Summer 19](https://www.youtube.com/playlist?list=PLPHXc20GewP8J56CisONS_mFZWZAfa7jR))
- [Data 100: Principles and Techniques of Data Science - UC Berkeley](https://ds100.org) ([Fall 25](https://ds100.org/fa25/lectures/01/)) ([Fall 24](https://www.youtube.com/playlist?list=PLIygTcviGPKBzDKR72ILypzPQZ_Cz6HcH)) ([Spring 24](https://ds100.org/sp24/)) ([Summer 19](https://www.youtube.com/playlist?list=PLPHXc20GewP8J56CisONS_mFZWZAfa7jR))
- [Data 102 - Spring 21- UC Berkeley](https://data102.org/sp21/#lecture-week-14) ([YouTube](https://www.youtube.com/playlist?list=PLIygTcviGPKAEbY32OXjmkQbD0uRhge9Y))
- [Distributed Data Analytics (WT 2017/18) - HPI University of Potsdam](https://www.tele-task.de/series/1179/)
- [Data Profiling and Data Cleansing (WS 2014/15) - HPI University of Potsdam](https://www.tele-task.de/series/1027/)
@@ -539,6 +539,7 @@ Table of Contents
- [NYU Deep Learning Spring 2020](https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq)
- [NYU Deep Learning Spring 2021](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI)
- [6.S191: Introduction to Deep Learning - MIT](http://introtodeeplearning.com/)
- [15.773: Hands-On Deep Learning Spring 2024 - MIT](https://ocw.mit.edu/courses/15-773-hands-on-deep-learning-spring-2024/video_galleries/lecture-videos/)
- [Intro to Deep Learning and Generative Models Course - Prof Sebastian Raschka](https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51)
- [Deep Learning CMU](https://www.youtube.com/channel/UC8hYZGEkI2dDO8scT8C5UQA/videos)
- [CS231n Deep Learning for Computer Vision - Stanford University](https://cs231n.stanford.edu/schedule.html) ([Spring 2025](https://www.youtube.com/playlist?list=PLoROMvodv4rOmsNzYBMe0gJY2XS8AQg16)) ([Winter 2016 Andrej Karpathy](https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC))
@@ -670,6 +671,7 @@ Table of Contents
- [ECE 498 / 598 - Deep Generative Models - UIUC, Fall 2025)](https://rrc-uiuc.notion.site/gen-models-fa25)
- [MIT 6.S184 Flow Matching and Diffusion Models, 2025](https://diffusion.csail.mit.edu)
- [Course on Diffusion Models for Generative AI - UT Austin](https://www.youtube.com/playlist?list=PL8lIiiIWuabLxhJreBRZwNW-d02dJwbMb)
- [CS 492(C) Diffusion and Flow Models - Fall 2025 - KAIST](https://diffusion.kaist.ac.kr/) ([YouTube](https://www.youtube.com/playlist?list=PLyi5FHzX7hBzC698EjqgxQJG7pNPQyYyc))
- [Stanford CS336 Language Modeling from Scratch I 2025 - Stanford](https://www.youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_)
- [Stanford CME295 Transformers & LLMs - Autumn 2025 - Stanford](https://www.youtube.com/playlist?list=PLoROMvodv4rObv1FMizXqumgVVdzX4_05)
- [Introduction to large language models - IIT Madras](https://www.youtube.com/playlist?list=PLZ2ps__7DhBbaMNZoyW2Hizl8DG6ikkjo)