Watching list

  • A curated list of YouTube channels and videos that I follow/recommend to build intuition around AI/ML concepts.

Course lectures


MIT OpenCourseWare

  • Official YouTube channel of MIT OCW.

Alexander Amini

  • Course lectures for MIT 6.S191: Introduction to Deep Learning.

Lex Fridman

Alfredo Canziani

  • Course lectures for NYU’s Deep Learning (with PyTorch).

YouTube channels to follow


  • 3Blue1Brown, by Grant Sanderson, explains concepts using a combination of math and entertainment.
  • The goal is for explanations to be driven by animations and for difficult problems to be made simple with changes in perspective.
  • New videos every Sunday.

Two Minute Papers

  • Awesome explanations of the latest and greatest research papers.
  • Two new videos every week.

StatQuest with Josh Starmer

Yannic Kilcher

  • Videos about AI/ML research papers, programming, and issues of the AI community and the broader impact of AI in society.
  • Creator of the famous GPT-3, GPT-2 and Attention Is All You Need explanation videos.


Jay’s Visual Intro to AI by Jay Alammar, STV Capital
AI for Full-Self Driving by Andrej Karpathy, Tesla
Backprop in ConvNets by Prof. Dhruv Batra, Virginia Tech
PyTorch at Tesla by Andrej Karpathy, Tesla
Heroes of Deep Learning: Andrew Ng interviews Andrej Karpathy, Tesla
Talk: machine learning and causal inference by Susan Athey, Stanford