## $\Sigma$

### Links

Mostly computer science, math and stuff similar.

- https://deepindex.org
- https://whirl.cs.ox.ac.uk/reading-group/
- https://www.endtoend.ai
- The length of a toilet paper roll. [math.stackexchange]
- A trip through the Graphics Pipeline [a wordpress blog]
- How to hack a car? [Medium blog post]
- Complexity Explorer [ Math MOOC courses by Santa Fe Institute]
- How to find Waldo, using computer vision [Image Processing, Mathematica, stackoverflow]
- lhs2TeX [generate LaTeX code from Haskell, hackage link]
- Resources to write a chess engine [chess, stackoverflow]
- Paperdigest, tracks and analyzes all new papers uploaded to Arxiv and published on selected conferences, and then generates a one sentence summary for each paper to capture the paper highlight.
- r/cogsci reading list, the cognitive science subreddit’s reading list is an amazing resources with a lot of books, papers and articles if you’re into cognitive science.
- Gwern’s Blog/Website, about psychology, statistics, and technology; Gwern writes about darknet markets & Bitcoin, blinded self-experiments & Quantified Self analyses, dual n-back & spaced repetition, and modafinil.
- Superkeuh’s Blog, A web log about sci-fi, technology.
- endtoendAI, high quality information on different aspects of Artificial Intelligence, including Machine Learning, Reinforcement Learning, and Computer Vision.
- list of classic CS books on different topics by samort7.
- Arrival’s scientific and philosophical themes by DrTenmaz on Reddit.
- Is the Universe Euclidean or Non-Euclidean?, a paper titled “Is the spacetime metric Euclidean rather than Lorentzian?”, by Rafael D. Sorkin.
- Terms of Service, Didn’t Read, summarizes ToS of stuff, very useful as I always accept most of those, I mean, really? you have got time to read that?
- Ask Historian’s Master Book List, wanna read something old? then this post is gold!
- LessWrong is a place to 1) develop and train rationality, and 2) apply one’s rationality to real-world problems.
- Neural Ambigrams, generate ambigrams using neural nets.
- DeepIndex, Keeping track of what AI can do and where it is being applied
- Project Lovelace, Project Lovelace is a bunch of free scientific programming problems.
- Farmer and Farmer Review Eassay’s on technology and the arts, exploring the relationship between humans and technology.
- A huge list of Mathematical Fiction by Alex Kasman.
- Zip Bomb, an article by David Fifield that shows how to construct a non-recursive zip bomb that achieves a high compression ratio by overlapping files inside the zip container.
- How to pick a random number from 1-10,
*uniformly*An excellent blog post on how to write a random number generator to pick a number uniformly, duh. - Words and Buttons Online — a growing collection of interactive tutorials, guides and quizzes about things generally considered boring. Maths, algorithms, performance, and programming languages.
- Jane Street Puzzle Archieve, lot’s of programming challenges at Jane Street.
- Melting Asphalt, Essays about philosophy, human behavior, and occasionally software. Amazing content!
- Unravelling the JPEG, a great interactive post on the JPEG format by parametric press.
- Yehar’s Blog, the very unique, interesting website of Olli Niemitalo who had also written about/had an idea about GANs waaay before it was published.
- Nikoli is the first puzzle magazine in Japan. It has some great unique puzzles.
- Building Blocks for Theoretical Computer Science by Margaret M. Fleck
- Toy Wiki, a collection of math notes.
- Write yourself a Git!, implement git on your own using python.
- Resources for Students & Scholars by Frédo Durand, I read these reguarly.
- What Lecture Notes Should Everyone Read?, self explanatory.
- The Rendering of the Rise of the Tomb Raider, an excellent post on the rendering capabilities of the Crystal Engine used in the video game developed by Crystal Dynamics. The website has other interesting posts as well.

### Academic

These are some books I have read and find them worth.

#### Mathematics

- Linear Algebra Done Right, Sheldon Axler
- Principles of Mathematical Analysis, Walter Rudin
- Calculus, M. Spivak
- A First Course in Complex analysis, Dennis G. Zill and Patrick Shanahan
- A Book of Abstract Algebra, Charles Pinter
- The Princeton Companion to Mathematics, Timothy Gowers et al
- How to solve it, G Pólya
- Elementary Number Theory, David M Burton
- Topology, Munkres
- Introduction to Linear Algebra, Gilbert Strang.

#### Computer Vision $\cup$ Machine Learning

- Computer Vision: Algorithms and Applications, Richard Szeliski
- Computer Vision: Models, Learning, and Inference, Simon J. D. Prince
- Learning OpenCV3 Computer Vision in C++ with the OpenCV library, Adrian Kaehler and Gary Bradski

#### Machine Learning++

- Pattern Recognition and Machine Learning, Christopher M. Bishop
- Elements of Statistical Learning, Trevor Hastie, Robert Tibshirani, Jerome Friedman
- Deep Learning, Ian Goodfellow et al.

#### Neuroscience

- An Introduction to Neural Networks, James A. Anderson (
*Neurobiology and Neurocomputing*) - Principles of Neural Design, Peter Sterling.

### Movies and Fiction/Non-fiction

**Books:** An up to date list is at Goodreads.

**Movies:** I watch mosly science fiction, action, thriller and animation. An up to date list is here on letterboxd.

🚀