21 rec score32 positively recommended videos
Computer Science Lectures from Hacker News discussions
A collection of university lectures and technical explainers covering algorithms, computer architecture and core computer science ideas. The aim is not to reproduce a full degree curriculum, but to surface individual lectures that Hacker News readers found unusually clear or worth returning to. Recurring recommendations rank above one-off mentions. From here, the topic links lead naturally into mathematics, compilers, operating systems and distributed systems for deeper study.
21 rec score
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15 rec score
15 rec scorelecture · 11 recommenders
Justice: What's The Right Thing To Do? Episode 01 "THE MORAL SIDE OF MURDER"
Harvard University
15 rec scorelecture · 16 recommenders
MIT's Pathway to Fusion Energy (IAP 2017) - Zach Hartwig
MIT Plasma Science and Fusion Center
14 rec score
14 rec score
13 rec scorelecture · 12 recommenders
Randy Pausch's Last Lecture: Achieving Your Childhood Dreams
Carnegie Mellon University
12.5 rec score
12.5 rec score
12 rec scorelecture · 11 recommenders
Lecture 1A | MIT 6.001 Structure and Interpretation, 1986
MIT OpenCourseWare
12 rec score
12 rec score
12 rec scoretalk · 9 recommenders
CppCon 2017: Matt Kulukundis “Designing a Fast, Efficient, Cache-friendly Hash Table, Step by Step”
CppCon
12 rec score
11.5 rec score
11.5 rec score
11 rec scorelecture · 10 recommenders
The Coming Collapse of the Middle Class with Elizabeth Warren
University of California Television (UCTV)
10.5 rec score
10.5 rec scoretalk · 12 recommenders
USENIX ATC '21/OSDI '21 Joint Keynote Address-It's Time for Operating Systems to Rediscover Hardware
USENIX
10.5 rec score
10 rec score
10 rec scorelecture · 9 recommenders
30 Essential Ideas you should know about ADHD, 1A Intro, Chronic Developmental Disability
Adhd Videos
10 rec scoreinterview · 8 recommenders
Jim Keller: Moore's Law, Microprocessors, and First Principles | Lex Fridman Podcast #70
Lex Fridman
10 rec score
10 rec scorecourse · 9 recommenders
RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning
Google DeepMind
9.5 rec score
9.5 rec score
9 rec score
8.5 rec score