HackerTube.dev

Lecture 01 - The Learning Problem

caltech · 1.5M views · 2012-08-28 · 1:21:28

Open on YouTube ↗

If playback is restricted in your region, try opening the original video. Use Mark watched to add it to your marked videos.

Overview

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.

On Hacker News

Recommended repeatedly in 'where do I start with ML' threads as a clear, math-aware introduction.

Recommended by 5 HN people across 5 months · HN mentions 2016–2023

Topics

Machine learning & deep learningUniversity lectures & courses
Search by tags
machine learninglearning from datavc dimensionsupervised learningcaltech

What people said

bob1029 · 2023-04 · Strong recommendation

I have found the Caltech machine learning intro course to be the most elucidating of any resource so far: [VIDEO] The delivery of the lecture material was like butter to me. Might work differently for others though.

Read the original HN comment ↗
xtiansimon · 2017-07 · Strong recommendation

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]: [VIDEO]

Read the original HN comment ↗
GoldenMonkey · 2023-08 · Recommendation

Caltech machine learning intro course: [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]

Read the original HN comment ↗

Sources

Video by caltech, played through YouTube.

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.

Selection checks
  • SaaS & AI candidates: Topic keywords do not match
  • Editor-approved picks: Editorial review is required

Rule matches identify candidates. They do not guarantee video quality or financial results.

About the library and its sources