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My favorite places on the Internet, plus my favorite resources. If you've never delved into any topic listed here, this should also be a good place to start. Disclaimer: I don't check these links if they're dead, please let me know if one dies.

Machine & Data Science Links

• Chris Albon's Amazingly Thorough How-To Anything Data Science
• Chronographic Roadmap for Deep Learning
• Machine Learning: The High Interest Credit Card of Technical Debt
• VisiData, quick CSV tweaking in the terminal.
• Andrej Karpathy's arXiv Sanity Preserver
• Uber's Engineering blog
• Dr. Karpathy's Blog
• DeepMind's Blog
• Zero to TensorFlow in 15 Hours.
• Dr. Ng's 2006 machine learning MOOC on Coursera
• Understanding Capsule Networks
• YouTube Channel of Aurelien Geron, former ML engineer at YouTube Paris. Amazing videos on Capsule Nets
• More Deep Learning Papers, updated every so often.
• OpenAI's official educational resource on Deep Reinforcement Learning. Quite comprehensive!

Low Level Resources

• Very thorough dissection of Nvidia's Volta architecture by Citadel, LLC.
• Guide to Intel Intrinsics, a great UI design!
• Everything from NAND gates to making Tetris in one semester-long MOOC.
• Intel Programmer's Guide, YMMV
• YT series where a guy builds a CPU from scratch.
• A Good ARM tutorial series
• Operating Systems in Three "Easy" Pieces
• Communicating Sequential Processes by C.A.R. Hoare, one of the top authorities on concurrent programming.

Game Development, Computer Graphics, and Software Engineering

• One of the most talented individuals who does dreamscenes and graphics programming hosts tutorials and slide decks on his personal website.
• Computer Science Illustrated by UC Berkley
• Handmade Hero: Watch and entire game get written live!
• Game Engine Architecture by Jason Gregory
• Amit Patel's game dev articles
• Quake III Arena Source Code (id does this with every game after some time)
• Riot Games engineering blog, their series on determinism is great!
• Confessions of UE4 Firefighter: Great list of things SWEs do wrong in game dev.
• Series of good introductory articles on texture mapping. Old (VERY old in computer years) but gold.
• Really good blog on graphics rendering by Adien Courreges.
• Third Edition of PBRTI, hosted in HTML form for free

Mathematics (for Computer Scientists)

• Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Engineering
• The Matrix Calculus You Need For Deep Learning
• 3Blue1Brown's Essence of Linear Algebra YouTube series. His calculus series and neural network series are great too.
• Dennis Yurichev's SAT/SMT By Example, the ultimate reference for getting started with Z3

Miscellaneous Blog Posts and other things

• The Eternal_Mainframe by Rudolf Winestock, a great essay on cloud computing.
• Latest GNU Compiler Collection manual PDF. Great for learning how to optimize for GCC/G++!
• My favorite lecture series on theoretical computability.
• HackerNews Classics
• Why Monet Never Used Black, & Why You Shouldn’t Either
• Master's Thesis on Options Pricing with a GPU
• Teach Yourself Programming in Ten Years
• VnPy - an open source trading platform. Website is in Mandarin.
• Class Handouts from one of my favorite CS professors.
• Apple's new UI font, on GitHub. My how the times have changed.
• iA's blog post about their new font, which I quite like.