hackertube.io

Lecture 01 - The Learning Problem

caltech · course · Watch on YouTube

Machine learning & deep learningUniversity lectures & courses

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.

Why Hacker News recommends it

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

  • 5 people recommended it
  • 5 different months
  • 2 strong recommendations
  • first 2016, last 2023

What HN commenters said

  1. “one course I very much enjoyed auditing was "Learning from Data”

    Enjoyable course with a fresh presentation of the learning model

    xtiansimon, 2017-07 · Strong recommendation · in “A Curated List of AI and Machine Learning Resources from Around the Web”

  2. “I have found the Caltech machine learning intro course to be the most elucidating of any resource so far”

    Most elucidating ML intro resource, delivered clearly

    bob1029, 2023-04 · Strong recommendation · in “Ask HN: I am a full stack developer, where do I start learning for AI”

  3. “there are some lectures about machine learning on youtube. I think they are good to watch”

    Good machine learning lectures worth watching

    weishigoname, 2016-10 · Recommendation · in “Ask HN: What is your favorite YouTube channel for developers?”

  4. “I like how he explains stuff and adds some context behind the math of each topic.”

    Online lectures explaining the math and context behind each topic

    bonkerfied23, 2018-01 · Recommendation · in “Ask HN: How to Seriously Start with Machine Learning and AI”

  5. “Caltech machine learning intro course”

    Listed as a learning resource for ML

    GoldenMonkey, 2023-08 · Recommendation · in “Ask HN: In 2023 which is the best path to get good at machine and deep learning?”

Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.

Topics: machine learning, learning from data, vc dimension, supervised learning, caltech

Also recommended by the same people