🎥 Algorithms and Data Structures courses at IFMO
🎥 Graph Theory and Additive Combinatorics
📖 Competitive Programmer's Handbook
📄 R-trees: a dynamic index structure for spatial searching (1984)
🔗 NEERC IFMO Wiki: comprehensive overview of important algorithms by one of the most successful Russian universities (multiple times ACM ICPC winners), in Russian

Systems Programming (Operating Systems, Low-Level Primitives, Hardware)

📄 What every programmer should know about memory (Paper and LWN post series, 2007)
🔗 Computer Networking Introduction - Ethernet and IP (Heavily Illustrated)
🔗 Writing an OS in Rust

Distributed Systems

📄 Chord: A Scalable Peer-to-peer Lookup Service for Internet Applications (2001)
📄 Spanner, TrueTime & The CAP Theorem (2017)
🔗 Designs, Lessons and Advice from Building Large Distributed Systems (Jeffrey Dean, 2009)

📄 Distributed representations of words and phrases and their compositionality ("Word2Vec Paper", 2013)

🎥 Coursera Reinforcement Learning Specialization (University of Alberta and DeepMind)
🎥 AlphaGo - The Movie — not really "scientific" and more intended for leisure but still fun to watch

🎥 Coursera Self Driving Cars specialization (University of Toronto)
📄 Waymo Safety Report
📄 Scalability in Perception for Autonomous Driving: Waymo Open Dataset
📄 ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
📄 Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?
📄 A Survey of Autonomous Driving: Common Practices and Emerging Technologies
📄 AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
📄 Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic: a fun Reinforcement Learning environment
- 🔗 github.com/highway-env
🔗 Waymo Blog
- 🔗 Simulation City: Introducing Waymo's most advanced simulation system yet for autonomous driving
- 🔗 VectorNet: Predicting behavior to help the Waymo Driver make better decisions

🎥 Computation Structures
🎥 Combinatorics (in Russian, MIPT, 2020)
🎥 YCombinator Startup School curriculum (MIT, Spring 2017)
📖 Literate Programming (Knuth, 1984)
- 🔗 http://www.literateprogramming.com
📖 How Google Works (Eric Schmidt, 2014)
📄 What Every Computer Scientist Should. Know About Floating-Point Arithmetic (Goldberg, 1991)
📄 The PageRank Citation Ranking: Bringing Order to the Web (Page, 1998)
🔗 The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!) (2013)