Lecture 01 - The Learning Problem on HackerTube: recommended by 5 Hacker News commenters across 5 separate months, 2016–2023.
course · intro · evergreen
The first lecture of Caltech's CS 156 Machine Learning course by Yaser Abu-Mostafa, introducing the learning problem and supervised, unsupervised and reinforcement learning. It is one of 18 lectures in the Learning from Data course.
Recommended repeatedly in 'where do I start with ML' threads as a clear, math-aware introduction.
“I have found the Caltech machine learning intro course to be the most elucidating of any resource so far”
6 Hacker News comments link this video. Each one links back to its thread.
I have found the Caltech machine learning intro course to be the most elucidating of any resource so far: ▶ this video The delivery of the lecture material was like butter to me. Might work differently for others though.
in “Ask HN: I am a full stack developer, where do I start learning for AI” · View on HN
I'm a neophyte to ML, but one course I very much enjoyed auditing was "Learning from Data" [1] taught by Caltech Professor Yaser Abu-Mostafa. I found concept of the _Learning Model_ particularly fresh representation of the ML activity (starting at 14:39 in the first video linked here [2]) [1]: [link] [2]: ▶ this video
in “A Curated List of AI and Machine Learning Resources from Around the Web” · View on HN
Caltech machine learning intro course: ▶ this video karpathy's Zero to Hero series ( [link] ) meta llama 2 - is open source [link] Tools: ai - hosting Banana - Machine Learning Model Deployment on Serverless GPUs [link] pinecone - vector database: [link] how to run AI language models on a single cpu pc - [link]
in “Ask HN: In 2023 which is the best path to get good at machine and deep learning?” · View on HN
Pattern Recognition and Machine Learning by Christopher Bishop. Book: [link] Notes: Its very very math heavy but if you really want to grasp the concepts and the idea around each topic, this is one of the way to go. Online Lectures: ▶ this video I like how he explains stuff and adds some context behind the math of each topic. Alternative: [link] A pretty good youtube channel that follows up on modern machine learning and he has all of his video tutorial demos on GitHub. Hope this helps fellow Machine Learner :)
in “Ask HN: How to Seriously Start with Machine Learning and AI” · View on HN
there are some lectures about machine learning on youtube. I think they are good to watch: ▶ this video and [link] and my favorite channels are Standford and MIT open courseware [link] and [link]
in “Ask HN: What is your favorite YouTube channel for developers?” · View on HN
[link] ▶ this video (incidentally for graycat, Yaser Abumostafa is a Muslim Egyptian immigrant from Cairo) He covers the VC dimension in [link] , and leaves the proof to an appendix of the book.
in “A Stark Nuclear Warning” · View on HN