Lecture 01 - The Learning Problem
Why Hacker News recommends it
Recommended repeatedly in 'where do I start with ML' threads as a clear, math-aware introduction.
What it is
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 by 5 HN commenters across 5 different months, 2016 to 2023.
What Hacker News said
Strong rec xtiansimon · 2017-07 · on “A Curated List of AI and Machine Learning Resources from Around the Web”
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]
Strong rec bob1029 · 2023-04 · on “Ask HN: I am a full stack developer, where do I start learning for AI”
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.
Recommends weishigoname · 2016-10 · on “Ask HN: What is your favorite YouTube channel for developers?”
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]
Recommends bonkerfied23 · 2018-01 · on “Ask HN: How to Seriously Start with Machine Learning and AI”
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 :)
Recommends GoldenMonkey · 2023-08 · on “Ask HN: In 2023 which is the best path to get good at machine and deep learning?”
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]
Cites selimthegrim · 2016-06 · on “A Stark Nuclear Warning”
[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.